r_studio-notebook-0ec4aa7799.ipynb

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      "Loading required package: NLP\n",
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      "<<TermDocumentMatrix (terms: 9473, documents: 5)>>\n",
      "Non-/sparse entries: 14189/33176\n",
      "Sparsity           : 70%\n",
      "Maximal term length: 129\n",
      "Weighting          : term frequency (tf)\n",
      "Sample             :\n",
      "         Docs\n",
      "Terms     1 _ one.txt 2 _ two.txt 3 _ three.txt 4 _ four.txt 5 _ five.txt\n",
      "  attack           12         211             8           35            9\n",
      "  control          17          43             7           60          270\n",
      "  develop          30          30            44           24          169\n",
      "  drone           178          32           366           40          489\n",
      "  fig               2          26             0           10          300\n",
      "  secur            25         335             3           34            5\n",
      "  system           15         130            19           97          117\n",
      "  uav              19         274            12          161           82\n",
      "  uavs             28         313             4           76           17\n",
      "  use              25         146            26           71          172\n"
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      "<<TermDocumentMatrix (terms: 9473, documents: 5)>>\n",
      "Non-/sparse entries: 14189/33176\n",
      "Sparsity           : 70%\n",
      "Maximal term length: 129\n",
      "Weighting          : term frequency (tf)\n",
      "Sample             :\n",
      "         Docs\n",
      "Terms     1 _ one.txt 2 _ two.txt 3 _ three.txt 4 _ four.txt 5 _ five.txt\n",
      "  attack           12         211             8           35            9\n",
      "  control          17          43             7           60          270\n",
      "  develop          30          30            44           24          169\n",
      "  drone           178          32           366           40          489\n",
      "  fig               2          26             0           10          300\n",
      "  secur            25         335             3           34            5\n",
      "  system           15         130            19           97          117\n",
      "  uav              19         274            12          161           82\n",
      "  uavs             28         313             4           76           17\n",
      "  use              25         146            26           71          172\n"
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     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'2011'</li><li>'2012'</li><li>'2013'</li><li>'2014'</li><li>'2015'</li><li>'2016'</li><li>'2017'</li><li>'2018'</li><li>'access'</li><li>'accid'</li><li>'activ'</li><li>'addit'</li><li>'aerial'</li><li>'agricultur'</li><li>'air'</li><li>'aircraft'</li><li>'airspac'</li><li>'also'</li><li>'analysi'</li><li>'appli'</li><li>'applic'</li><li>'approach'</li><li>'architectur'</li><li>'area'</li><li>'around'</li><li>'attack'</li><li>'author'</li><li>'autonom'</li><li>'avail'</li><li>'base'</li><li>'call'</li><li>'camera'</li><li>'capabl'</li><li>'capac'</li><li>'case'</li><li>'categori'</li><li>'caus'</li><li>'challeng'</li><li>'chang'</li><li>'civilian'</li><li>'collect'</li><li>'collis'</li><li>'commerci'</li><li>'common'</li><li>'commun'</li><li>'communic'</li><li>'compani'</li><li>'compar'</li><li>'complex'</li><li>'comput'</li><li>'concept'</li><li>'confer'</li><li>'consid'</li><li>'control'</li><li>'cost'</li><li>'creat'</li><li>'critic'</li><li>'current'</li><li>'data'</li><li>'deliveri'</li><li>'deploy'</li><li>'design'</li><li>'detect'</li><li>'develop'</li><li>'devic'</li><li>'differ'</li><li>'direct'</li><li>'discuss'</li><li>'drone'</li><li>'duct'</li><li>'due'</li><li>'effect'</li><li>'emerg'</li><li>'encrypt'</li><li>'engineer'</li><li>'environ'</li><li>'even'</li><li>'exampl'</li><li>'exist'</li><li>'explor'</li><li>'fig'</li><li>'flight'</li><li>'follow'</li><li>'for'</li><li>'forc'</li><li>'framework'</li><li>'futur'</li><li>'generat'</li><li>'govern'</li><li>'gps'</li><li>'ground'</li><li>'group'</li><li>'hardwar'</li><li>'helicopt'</li><li>'help'</li><li>'high'</li><li>'hover'</li><li>'howev'</li><li>'ieee'</li><li>'imag'</li><li>'implement'</li><li>'import'</li><li>'improv'</li><li>'includ'</li><li>'increas'</li><li>'industri'</li><li>'inform'</li><li>'integr'</li><li>'internat'</li><li>'internet'</li><li>'investig'</li><li>'issu'</li><li>'journal'</li><li>'june'</li><li>'key'</li><li>'land'</li><li>'law'</li><li>'less'</li><li>'lift'</li><li>'lightweight'</li><li>'like'</li><li>'limit'</li><li>'made'</li><li>'main'</li><li>'make'</li><li>'manag'</li><li>'mani'</li><li>'manufactur'</li><li>'market'</li><li>'mass'</li><li>'may'</li><li>'mechan'</li><li>'method'</li><li>'micro'</li><li>'militari'</li><li>'model'</li><li>'monitor'</li><li>'moreov'</li><li>'motor'</li><li>'move'</li><li>'need'</li><li>'network'</li><li>'new'</li><li>'number'</li><li>'one'</li><li>'onlin'</li><li>'oper'</li><li>'part'</li><li>'particular'</li><li>'payload'</li><li>'perform'</li><li>'phase'</li><li>'physic'</li><li>'popular'</li><li>'potenti'</li><li>'power'</li><li>'present'</li><li>'privaci'</li><li>'privat'</li><li>'problem'</li><li>'process'</li><li>'propel'</li><li>'propos'</li><li>'protect'</li><li>'provid'</li><li>'public'</li><li>'race'</li><li>'rang'</li><li>'receiv'</li><li>'recent'</li><li>'reduc'</li><li>'regul'</li><li>'relat'</li><li>'remot'</li><li>'requir'</li><li>'rescu'</li><li>'research'</li><li>'result'</li><li>'retriev'</li><li>'risk'</li><li>'robot'</li><li>'rule'</li><li>'safeti'</li><li>'scheme'</li><li>'sci'</li><li>'scienc'</li><li>'search'</li><li>'section'</li><li>'secur'</li><li>'see'</li><li>'sensor'</li><li>'servic'</li><li>'sever'</li><li>'show'</li><li>'signal'</li><li>'similar'</li><li>'sinc'</li><li>'small'</li><li>'softwar'</li><li>'solut'</li><li>'space'</li><li>'speed'</li><li>'stabil'</li><li>'state'</li><li>'still'</li><li>'structur'</li><li>'studi'</li><li>'surveil'</li><li>'survey'</li><li>'system'</li><li>'tabl'</li><li>'take'</li><li>'technolog'</li><li>'test'</li><li>'there'</li><li>'therefor'</li><li>'these'</li><li>'they'</li><li>'this'</li><li>'threat'</li><li>'three'</li><li>'time'</li><li>'two'</li><li>'type'</li><li>'uas'</li><li>'uav'</li><li>'uavs'</li><li>'unite'</li><li>'univers'</li><li>'unman'</li><li>'use'</li><li>'user'</li><li>'util'</li><li>'various'</li><li>'vehicl'</li><li>'view'</li><li>'vulner'</li><li>'way'</li><li>'well'</li><li>'will'</li><li>'wireless'</li><li>'without'</li><li>'work'</li><li>'2022'</li><li>'2023'</li><li>'algorithm'</li><li>'among'</li><li>'applicat'</li><li>'authent'</li><li>'availabl'</li><li>'benefit'</li><li>'blockchain'</li><li>'china'</li><li>'combin'</li><li>'dynam'</li><li>'effici'</li><li>'energi'</li><li>'first'</li><li>'flap'</li><li>'flappingw'</li><li>'fli'</li><li>'gcs'</li><li>'hybrid'</li><li>'ids'</li><li>'intellig'</li><li>'laghari'</li><li>'learn'</li><li>'low'</li><li>'map'</li><li>'mission'</li><li>'numer'</li><li>'protocol'</li><li>'quadrotor'</li><li>'review'</li><li>'rotat'</li><li>'shown'</li><li>'specif'</li><li>'surfac'</li><li>'swarm'</li><li>'takeoff'</li><li>'techniqu'</li><li>'wang'</li><li>'aerospac'</li><li>'wing'</li><li>'121'</li><li>'aerodynam'</li><li>'configur'</li><li>'dual'</li><li>'fan'</li><li>'fixedw'</li><li>'motion'</li><li>'multirotor'</li><li>'progress'</li><li>'100694'</li><li>'airship'</li><li>'balloon'</li><li>'coaxial'</li><li>'cruis'</li><li>'darvishpoor'</li><li>'ductedfan'</li><li>'hassanalian'</li><li>'magnus'</li><li>'monorotor'</li><li>'rotor'</li><li>'tail'</li><li>'tailsitt'</li><li>'thrust'</li><li>'tilt'</li><li>'tiltrotor'</li><li>'torqu'</li><li>'uass'</li><li>'vertic'</li><li>'vtol'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item '2011'\n",
       "\\item '2012'\n",
       "\\item '2013'\n",
       "\\item '2014'\n",
       "\\item '2015'\n",
       "\\item '2016'\n",
       "\\item '2017'\n",
       "\\item '2018'\n",
       "\\item 'access'\n",
       "\\item 'accid'\n",
       "\\item 'activ'\n",
       "\\item 'addit'\n",
       "\\item 'aerial'\n",
       "\\item 'agricultur'\n",
       "\\item 'air'\n",
       "\\item 'aircraft'\n",
       "\\item 'airspac'\n",
       "\\item 'also'\n",
       "\\item 'analysi'\n",
       "\\item 'appli'\n",
       "\\item 'applic'\n",
       "\\item 'approach'\n",
       "\\item 'architectur'\n",
       "\\item 'area'\n",
       "\\item 'around'\n",
       "\\item 'attack'\n",
       "\\item 'author'\n",
       "\\item 'autonom'\n",
       "\\item 'avail'\n",
       "\\item 'base'\n",
       "\\item 'call'\n",
       "\\item 'camera'\n",
       "\\item 'capabl'\n",
       "\\item 'capac'\n",
       "\\item 'case'\n",
       "\\item 'categori'\n",
       "\\item 'caus'\n",
       "\\item 'challeng'\n",
       "\\item 'chang'\n",
       "\\item 'civilian'\n",
       "\\item 'collect'\n",
       "\\item 'collis'\n",
       "\\item 'commerci'\n",
       "\\item 'common'\n",
       "\\item 'commun'\n",
       "\\item 'communic'\n",
       "\\item 'compani'\n",
       "\\item 'compar'\n",
       "\\item 'complex'\n",
       "\\item 'comput'\n",
       "\\item 'concept'\n",
       "\\item 'confer'\n",
       "\\item 'consid'\n",
       "\\item 'control'\n",
       "\\item 'cost'\n",
       "\\item 'creat'\n",
       "\\item 'critic'\n",
       "\\item 'current'\n",
       "\\item 'data'\n",
       "\\item 'deliveri'\n",
       "\\item 'deploy'\n",
       "\\item 'design'\n",
       "\\item 'detect'\n",
       "\\item 'develop'\n",
       "\\item 'devic'\n",
       "\\item 'differ'\n",
       "\\item 'direct'\n",
       "\\item 'discuss'\n",
       "\\item 'drone'\n",
       "\\item 'duct'\n",
       "\\item 'due'\n",
       "\\item 'effect'\n",
       "\\item 'emerg'\n",
       "\\item 'encrypt'\n",
       "\\item 'engineer'\n",
       "\\item 'environ'\n",
       "\\item 'even'\n",
       "\\item 'exampl'\n",
       "\\item 'exist'\n",
       "\\item 'explor'\n",
       "\\item 'fig'\n",
       "\\item 'flight'\n",
       "\\item 'follow'\n",
       "\\item 'for'\n",
       "\\item 'forc'\n",
       "\\item 'framework'\n",
       "\\item 'futur'\n",
       "\\item 'generat'\n",
       "\\item 'govern'\n",
       "\\item 'gps'\n",
       "\\item 'ground'\n",
       "\\item 'group'\n",
       "\\item 'hardwar'\n",
       "\\item 'helicopt'\n",
       "\\item 'help'\n",
       "\\item 'high'\n",
       "\\item 'hover'\n",
       "\\item 'howev'\n",
       "\\item 'ieee'\n",
       "\\item 'imag'\n",
       "\\item 'implement'\n",
       "\\item 'import'\n",
       "\\item 'improv'\n",
       "\\item 'includ'\n",
       "\\item 'increas'\n",
       "\\item 'industri'\n",
       "\\item 'inform'\n",
       "\\item 'integr'\n",
       "\\item 'internat'\n",
       "\\item 'internet'\n",
       "\\item 'investig'\n",
       "\\item 'issu'\n",
       "\\item 'journal'\n",
       "\\item 'june'\n",
       "\\item 'key'\n",
       "\\item 'land'\n",
       "\\item 'law'\n",
       "\\item 'less'\n",
       "\\item 'lift'\n",
       "\\item 'lightweight'\n",
       "\\item 'like'\n",
       "\\item 'limit'\n",
       "\\item 'made'\n",
       "\\item 'main'\n",
       "\\item 'make'\n",
       "\\item 'manag'\n",
       "\\item 'mani'\n",
       "\\item 'manufactur'\n",
       "\\item 'market'\n",
       "\\item 'mass'\n",
       "\\item 'may'\n",
       "\\item 'mechan'\n",
       "\\item 'method'\n",
       "\\item 'micro'\n",
       "\\item 'militari'\n",
       "\\item 'model'\n",
       "\\item 'monitor'\n",
       "\\item 'moreov'\n",
       "\\item 'motor'\n",
       "\\item 'move'\n",
       "\\item 'need'\n",
       "\\item 'network'\n",
       "\\item 'new'\n",
       "\\item 'number'\n",
       "\\item 'one'\n",
       "\\item 'onlin'\n",
       "\\item 'oper'\n",
       "\\item 'part'\n",
       "\\item 'particular'\n",
       "\\item 'payload'\n",
       "\\item 'perform'\n",
       "\\item 'phase'\n",
       "\\item 'physic'\n",
       "\\item 'popular'\n",
       "\\item 'potenti'\n",
       "\\item 'power'\n",
       "\\item 'present'\n",
       "\\item 'privaci'\n",
       "\\item 'privat'\n",
       "\\item 'problem'\n",
       "\\item 'process'\n",
       "\\item 'propel'\n",
       "\\item 'propos'\n",
       "\\item 'protect'\n",
       "\\item 'provid'\n",
       "\\item 'public'\n",
       "\\item 'race'\n",
       "\\item 'rang'\n",
       "\\item 'receiv'\n",
       "\\item 'recent'\n",
       "\\item 'reduc'\n",
       "\\item 'regul'\n",
       "\\item 'relat'\n",
       "\\item 'remot'\n",
       "\\item 'requir'\n",
       "\\item 'rescu'\n",
       "\\item 'research'\n",
       "\\item 'result'\n",
       "\\item 'retriev'\n",
       "\\item 'risk'\n",
       "\\item 'robot'\n",
       "\\item 'rule'\n",
       "\\item 'safeti'\n",
       "\\item 'scheme'\n",
       "\\item 'sci'\n",
       "\\item 'scienc'\n",
       "\\item 'search'\n",
       "\\item 'section'\n",
       "\\item 'secur'\n",
       "\\item 'see'\n",
       "\\item 'sensor'\n",
       "\\item 'servic'\n",
       "\\item 'sever'\n",
       "\\item 'show'\n",
       "\\item 'signal'\n",
       "\\item 'similar'\n",
       "\\item 'sinc'\n",
       "\\item 'small'\n",
       "\\item 'softwar'\n",
       "\\item 'solut'\n",
       "\\item 'space'\n",
       "\\item 'speed'\n",
       "\\item 'stabil'\n",
       "\\item 'state'\n",
       "\\item 'still'\n",
       "\\item 'structur'\n",
       "\\item 'studi'\n",
       "\\item 'surveil'\n",
       "\\item 'survey'\n",
       "\\item 'system'\n",
       "\\item 'tabl'\n",
       "\\item 'take'\n",
       "\\item 'technolog'\n",
       "\\item 'test'\n",
       "\\item 'there'\n",
       "\\item 'therefor'\n",
       "\\item 'these'\n",
       "\\item 'they'\n",
       "\\item 'this'\n",
       "\\item 'threat'\n",
       "\\item 'three'\n",
       "\\item 'time'\n",
       "\\item 'two'\n",
       "\\item 'type'\n",
       "\\item 'uas'\n",
       "\\item 'uav'\n",
       "\\item 'uavs'\n",
       "\\item 'unite'\n",
       "\\item 'univers'\n",
       "\\item 'unman'\n",
       "\\item 'use'\n",
       "\\item 'user'\n",
       "\\item 'util'\n",
       "\\item 'various'\n",
       "\\item 'vehicl'\n",
       "\\item 'view'\n",
       "\\item 'vulner'\n",
       "\\item 'way'\n",
       "\\item 'well'\n",
       "\\item 'will'\n",
       "\\item 'wireless'\n",
       "\\item 'without'\n",
       "\\item 'work'\n",
       "\\item '2022'\n",
       "\\item '2023'\n",
       "\\item 'algorithm'\n",
       "\\item 'among'\n",
       "\\item 'applicat'\n",
       "\\item 'authent'\n",
       "\\item 'availabl'\n",
       "\\item 'benefit'\n",
       "\\item 'blockchain'\n",
       "\\item 'china'\n",
       "\\item 'combin'\n",
       "\\item 'dynam'\n",
       "\\item 'effici'\n",
       "\\item 'energi'\n",
       "\\item 'first'\n",
       "\\item 'flap'\n",
       "\\item 'flappingw'\n",
       "\\item 'fli'\n",
       "\\item 'gcs'\n",
       "\\item 'hybrid'\n",
       "\\item 'ids'\n",
       "\\item 'intellig'\n",
       "\\item 'laghari'\n",
       "\\item 'learn'\n",
       "\\item 'low'\n",
       "\\item 'map'\n",
       "\\item 'mission'\n",
       "\\item 'numer'\n",
       "\\item 'protocol'\n",
       "\\item 'quadrotor'\n",
       "\\item 'review'\n",
       "\\item 'rotat'\n",
       "\\item 'shown'\n",
       "\\item 'specif'\n",
       "\\item 'surfac'\n",
       "\\item 'swarm'\n",
       "\\item 'takeoff'\n",
       "\\item 'techniqu'\n",
       "\\item 'wang'\n",
       "\\item 'aerospac'\n",
       "\\item 'wing'\n",
       "\\item '121'\n",
       "\\item 'aerodynam'\n",
       "\\item 'configur'\n",
       "\\item 'dual'\n",
       "\\item 'fan'\n",
       "\\item 'fixedw'\n",
       "\\item 'motion'\n",
       "\\item 'multirotor'\n",
       "\\item 'progress'\n",
       "\\item '100694'\n",
       "\\item 'airship'\n",
       "\\item 'balloon'\n",
       "\\item 'coaxial'\n",
       "\\item 'cruis'\n",
       "\\item 'darvishpoor'\n",
       "\\item 'ductedfan'\n",
       "\\item 'hassanalian'\n",
       "\\item 'magnus'\n",
       "\\item 'monorotor'\n",
       "\\item 'rotor'\n",
       "\\item 'tail'\n",
       "\\item 'tailsitt'\n",
       "\\item 'thrust'\n",
       "\\item 'tilt'\n",
       "\\item 'tiltrotor'\n",
       "\\item 'torqu'\n",
       "\\item 'uass'\n",
       "\\item 'vertic'\n",
       "\\item 'vtol'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. '2011'\n",
       "2. '2012'\n",
       "3. '2013'\n",
       "4. '2014'\n",
       "5. '2015'\n",
       "6. '2016'\n",
       "7. '2017'\n",
       "8. '2018'\n",
       "9. 'access'\n",
       "10. 'accid'\n",
       "11. 'activ'\n",
       "12. 'addit'\n",
       "13. 'aerial'\n",
       "14. 'agricultur'\n",
       "15. 'air'\n",
       "16. 'aircraft'\n",
       "17. 'airspac'\n",
       "18. 'also'\n",
       "19. 'analysi'\n",
       "20. 'appli'\n",
       "21. 'applic'\n",
       "22. 'approach'\n",
       "23. 'architectur'\n",
       "24. 'area'\n",
       "25. 'around'\n",
       "26. 'attack'\n",
       "27. 'author'\n",
       "28. 'autonom'\n",
       "29. 'avail'\n",
       "30. 'base'\n",
       "31. 'call'\n",
       "32. 'camera'\n",
       "33. 'capabl'\n",
       "34. 'capac'\n",
       "35. 'case'\n",
       "36. 'categori'\n",
       "37. 'caus'\n",
       "38. 'challeng'\n",
       "39. 'chang'\n",
       "40. 'civilian'\n",
       "41. 'collect'\n",
       "42. 'collis'\n",
       "43. 'commerci'\n",
       "44. 'common'\n",
       "45. 'commun'\n",
       "46. 'communic'\n",
       "47. 'compani'\n",
       "48. 'compar'\n",
       "49. 'complex'\n",
       "50. 'comput'\n",
       "51. 'concept'\n",
       "52. 'confer'\n",
       "53. 'consid'\n",
       "54. 'control'\n",
       "55. 'cost'\n",
       "56. 'creat'\n",
       "57. 'critic'\n",
       "58. 'current'\n",
       "59. 'data'\n",
       "60. 'deliveri'\n",
       "61. 'deploy'\n",
       "62. 'design'\n",
       "63. 'detect'\n",
       "64. 'develop'\n",
       "65. 'devic'\n",
       "66. 'differ'\n",
       "67. 'direct'\n",
       "68. 'discuss'\n",
       "69. 'drone'\n",
       "70. 'duct'\n",
       "71. 'due'\n",
       "72. 'effect'\n",
       "73. 'emerg'\n",
       "74. 'encrypt'\n",
       "75. 'engineer'\n",
       "76. 'environ'\n",
       "77. 'even'\n",
       "78. 'exampl'\n",
       "79. 'exist'\n",
       "80. 'explor'\n",
       "81. 'fig'\n",
       "82. 'flight'\n",
       "83. 'follow'\n",
       "84. 'for'\n",
       "85. 'forc'\n",
       "86. 'framework'\n",
       "87. 'futur'\n",
       "88. 'generat'\n",
       "89. 'govern'\n",
       "90. 'gps'\n",
       "91. 'ground'\n",
       "92. 'group'\n",
       "93. 'hardwar'\n",
       "94. 'helicopt'\n",
       "95. 'help'\n",
       "96. 'high'\n",
       "97. 'hover'\n",
       "98. 'howev'\n",
       "99. 'ieee'\n",
       "100. 'imag'\n",
       "101. 'implement'\n",
       "102. 'import'\n",
       "103. 'improv'\n",
       "104. 'includ'\n",
       "105. 'increas'\n",
       "106. 'industri'\n",
       "107. 'inform'\n",
       "108. 'integr'\n",
       "109. 'internat'\n",
       "110. 'internet'\n",
       "111. 'investig'\n",
       "112. 'issu'\n",
       "113. 'journal'\n",
       "114. 'june'\n",
       "115. 'key'\n",
       "116. 'land'\n",
       "117. 'law'\n",
       "118. 'less'\n",
       "119. 'lift'\n",
       "120. 'lightweight'\n",
       "121. 'like'\n",
       "122. 'limit'\n",
       "123. 'made'\n",
       "124. 'main'\n",
       "125. 'make'\n",
       "126. 'manag'\n",
       "127. 'mani'\n",
       "128. 'manufactur'\n",
       "129. 'market'\n",
       "130. 'mass'\n",
       "131. 'may'\n",
       "132. 'mechan'\n",
       "133. 'method'\n",
       "134. 'micro'\n",
       "135. 'militari'\n",
       "136. 'model'\n",
       "137. 'monitor'\n",
       "138. 'moreov'\n",
       "139. 'motor'\n",
       "140. 'move'\n",
       "141. 'need'\n",
       "142. 'network'\n",
       "143. 'new'\n",
       "144. 'number'\n",
       "145. 'one'\n",
       "146. 'onlin'\n",
       "147. 'oper'\n",
       "148. 'part'\n",
       "149. 'particular'\n",
       "150. 'payload'\n",
       "151. 'perform'\n",
       "152. 'phase'\n",
       "153. 'physic'\n",
       "154. 'popular'\n",
       "155. 'potenti'\n",
       "156. 'power'\n",
       "157. 'present'\n",
       "158. 'privaci'\n",
       "159. 'privat'\n",
       "160. 'problem'\n",
       "161. 'process'\n",
       "162. 'propel'\n",
       "163. 'propos'\n",
       "164. 'protect'\n",
       "165. 'provid'\n",
       "166. 'public'\n",
       "167. 'race'\n",
       "168. 'rang'\n",
       "169. 'receiv'\n",
       "170. 'recent'\n",
       "171. 'reduc'\n",
       "172. 'regul'\n",
       "173. 'relat'\n",
       "174. 'remot'\n",
       "175. 'requir'\n",
       "176. 'rescu'\n",
       "177. 'research'\n",
       "178. 'result'\n",
       "179. 'retriev'\n",
       "180. 'risk'\n",
       "181. 'robot'\n",
       "182. 'rule'\n",
       "183. 'safeti'\n",
       "184. 'scheme'\n",
       "185. 'sci'\n",
       "186. 'scienc'\n",
       "187. 'search'\n",
       "188. 'section'\n",
       "189. 'secur'\n",
       "190. 'see'\n",
       "191. 'sensor'\n",
       "192. 'servic'\n",
       "193. 'sever'\n",
       "194. 'show'\n",
       "195. 'signal'\n",
       "196. 'similar'\n",
       "197. 'sinc'\n",
       "198. 'small'\n",
       "199. 'softwar'\n",
       "200. 'solut'\n",
       "201. 'space'\n",
       "202. 'speed'\n",
       "203. 'stabil'\n",
       "204. 'state'\n",
       "205. 'still'\n",
       "206. 'structur'\n",
       "207. 'studi'\n",
       "208. 'surveil'\n",
       "209. 'survey'\n",
       "210. 'system'\n",
       "211. 'tabl'\n",
       "212. 'take'\n",
       "213. 'technolog'\n",
       "214. 'test'\n",
       "215. 'there'\n",
       "216. 'therefor'\n",
       "217. 'these'\n",
       "218. 'they'\n",
       "219. 'this'\n",
       "220. 'threat'\n",
       "221. 'three'\n",
       "222. 'time'\n",
       "223. 'two'\n",
       "224. 'type'\n",
       "225. 'uas'\n",
       "226. 'uav'\n",
       "227. 'uavs'\n",
       "228. 'unite'\n",
       "229. 'univers'\n",
       "230. 'unman'\n",
       "231. 'use'\n",
       "232. 'user'\n",
       "233. 'util'\n",
       "234. 'various'\n",
       "235. 'vehicl'\n",
       "236. 'view'\n",
       "237. 'vulner'\n",
       "238. 'way'\n",
       "239. 'well'\n",
       "240. 'will'\n",
       "241. 'wireless'\n",
       "242. 'without'\n",
       "243. 'work'\n",
       "244. '2022'\n",
       "245. '2023'\n",
       "246. 'algorithm'\n",
       "247. 'among'\n",
       "248. 'applicat'\n",
       "249. 'authent'\n",
       "250. 'availabl'\n",
       "251. 'benefit'\n",
       "252. 'blockchain'\n",
       "253. 'china'\n",
       "254. 'combin'\n",
       "255. 'dynam'\n",
       "256. 'effici'\n",
       "257. 'energi'\n",
       "258. 'first'\n",
       "259. 'flap'\n",
       "260. 'flappingw'\n",
       "261. 'fli'\n",
       "262. 'gcs'\n",
       "263. 'hybrid'\n",
       "264. 'ids'\n",
       "265. 'intellig'\n",
       "266. 'laghari'\n",
       "267. 'learn'\n",
       "268. 'low'\n",
       "269. 'map'\n",
       "270. 'mission'\n",
       "271. 'numer'\n",
       "272. 'protocol'\n",
       "273. 'quadrotor'\n",
       "274. 'review'\n",
       "275. 'rotat'\n",
       "276. 'shown'\n",
       "277. 'specif'\n",
       "278. 'surfac'\n",
       "279. 'swarm'\n",
       "280. 'takeoff'\n",
       "281. 'techniqu'\n",
       "282. 'wang'\n",
       "283. 'aerospac'\n",
       "284. 'wing'\n",
       "285. '121'\n",
       "286. 'aerodynam'\n",
       "287. 'configur'\n",
       "288. 'dual'\n",
       "289. 'fan'\n",
       "290. 'fixedw'\n",
       "291. 'motion'\n",
       "292. 'multirotor'\n",
       "293. 'progress'\n",
       "294. '100694'\n",
       "295. 'airship'\n",
       "296. 'balloon'\n",
       "297. 'coaxial'\n",
       "298. 'cruis'\n",
       "299. 'darvishpoor'\n",
       "300. 'ductedfan'\n",
       "301. 'hassanalian'\n",
       "302. 'magnus'\n",
       "303. 'monorotor'\n",
       "304. 'rotor'\n",
       "305. 'tail'\n",
       "306. 'tailsitt'\n",
       "307. 'thrust'\n",
       "308. 'tilt'\n",
       "309. 'tiltrotor'\n",
       "310. 'torqu'\n",
       "311. 'uass'\n",
       "312. 'vertic'\n",
       "313. 'vtol'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  [1] \"2011\"        \"2012\"        \"2013\"        \"2014\"        \"2015\"       \n",
       "  [6] \"2016\"        \"2017\"        \"2018\"        \"access\"      \"accid\"      \n",
       " [11] \"activ\"       \"addit\"       \"aerial\"      \"agricultur\"  \"air\"        \n",
       " [16] \"aircraft\"    \"airspac\"     \"also\"        \"analysi\"     \"appli\"      \n",
       " [21] \"applic\"      \"approach\"    \"architectur\" \"area\"        \"around\"     \n",
       " [26] \"attack\"      \"author\"      \"autonom\"     \"avail\"       \"base\"       \n",
       " [31] \"call\"        \"camera\"      \"capabl\"      \"capac\"       \"case\"       \n",
       " [36] \"categori\"    \"caus\"        \"challeng\"    \"chang\"       \"civilian\"   \n",
       " [41] \"collect\"     \"collis\"      \"commerci\"    \"common\"      \"commun\"     \n",
       " [46] \"communic\"    \"compani\"     \"compar\"      \"complex\"     \"comput\"     \n",
       " [51] \"concept\"     \"confer\"      \"consid\"      \"control\"     \"cost\"       \n",
       " [56] \"creat\"       \"critic\"      \"current\"     \"data\"        \"deliveri\"   \n",
       " [61] \"deploy\"      \"design\"      \"detect\"      \"develop\"     \"devic\"      \n",
       " [66] \"differ\"      \"direct\"      \"discuss\"     \"drone\"       \"duct\"       \n",
       " [71] \"due\"         \"effect\"      \"emerg\"       \"encrypt\"     \"engineer\"   \n",
       " [76] \"environ\"     \"even\"        \"exampl\"      \"exist\"       \"explor\"     \n",
       " [81] \"fig\"         \"flight\"      \"follow\"      \"for\"         \"forc\"       \n",
       " [86] \"framework\"   \"futur\"       \"generat\"     \"govern\"      \"gps\"        \n",
       " [91] \"ground\"      \"group\"       \"hardwar\"     \"helicopt\"    \"help\"       \n",
       " [96] \"high\"        \"hover\"       \"howev\"       \"ieee\"        \"imag\"       \n",
       "[101] \"implement\"   \"import\"      \"improv\"      \"includ\"      \"increas\"    \n",
       "[106] \"industri\"    \"inform\"      \"integr\"      \"internat\"    \"internet\"   \n",
       "[111] \"investig\"    \"issu\"        \"journal\"     \"june\"        \"key\"        \n",
       "[116] \"land\"        \"law\"         \"less\"        \"lift\"        \"lightweight\"\n",
       "[121] \"like\"        \"limit\"       \"made\"        \"main\"        \"make\"       \n",
       "[126] \"manag\"       \"mani\"        \"manufactur\"  \"market\"      \"mass\"       \n",
       "[131] \"may\"         \"mechan\"      \"method\"      \"micro\"       \"militari\"   \n",
       "[136] \"model\"       \"monitor\"     \"moreov\"      \"motor\"       \"move\"       \n",
       "[141] \"need\"        \"network\"     \"new\"         \"number\"      \"one\"        \n",
       "[146] \"onlin\"       \"oper\"        \"part\"        \"particular\"  \"payload\"    \n",
       "[151] \"perform\"     \"phase\"       \"physic\"      \"popular\"     \"potenti\"    \n",
       "[156] \"power\"       \"present\"     \"privaci\"     \"privat\"      \"problem\"    \n",
       "[161] \"process\"     \"propel\"      \"propos\"      \"protect\"     \"provid\"     \n",
       "[166] \"public\"      \"race\"        \"rang\"        \"receiv\"      \"recent\"     \n",
       "[171] \"reduc\"       \"regul\"       \"relat\"       \"remot\"       \"requir\"     \n",
       "[176] \"rescu\"       \"research\"    \"result\"      \"retriev\"     \"risk\"       \n",
       "[181] \"robot\"       \"rule\"        \"safeti\"      \"scheme\"      \"sci\"        \n",
       "[186] \"scienc\"      \"search\"      \"section\"     \"secur\"       \"see\"        \n",
       "[191] \"sensor\"      \"servic\"      \"sever\"       \"show\"        \"signal\"     \n",
       "[196] \"similar\"     \"sinc\"        \"small\"       \"softwar\"     \"solut\"      \n",
       "[201] \"space\"       \"speed\"       \"stabil\"      \"state\"       \"still\"      \n",
       "[206] \"structur\"    \"studi\"       \"surveil\"     \"survey\"      \"system\"     \n",
       "[211] \"tabl\"        \"take\"        \"technolog\"   \"test\"        \"there\"      \n",
       "[216] \"therefor\"    \"these\"       \"they\"        \"this\"        \"threat\"     \n",
       "[221] \"three\"       \"time\"        \"two\"         \"type\"        \"uas\"        \n",
       "[226] \"uav\"         \"uavs\"        \"unite\"       \"univers\"     \"unman\"      \n",
       "[231] \"use\"         \"user\"        \"util\"        \"various\"     \"vehicl\"     \n",
       "[236] \"view\"        \"vulner\"      \"way\"         \"well\"        \"will\"       \n",
       "[241] \"wireless\"    \"without\"     \"work\"        \"2022\"        \"2023\"       \n",
       "[246] \"algorithm\"   \"among\"       \"applicat\"    \"authent\"     \"availabl\"   \n",
       "[251] \"benefit\"     \"blockchain\"  \"china\"       \"combin\"      \"dynam\"      \n",
       "[256] \"effici\"      \"energi\"      \"first\"       \"flap\"        \"flappingw\"  \n",
       "[261] \"fli\"         \"gcs\"         \"hybrid\"      \"ids\"         \"intellig\"   \n",
       "[266] \"laghari\"     \"learn\"       \"low\"         \"map\"         \"mission\"    \n",
       "[271] \"numer\"       \"protocol\"    \"quadrotor\"   \"review\"      \"rotat\"      \n",
       "[276] \"shown\"       \"specif\"      \"surfac\"      \"swarm\"       \"takeoff\"    \n",
       "[281] \"techniqu\"    \"wang\"        \"aerospac\"    \"wing\"        \"121\"        \n",
       "[286] \"aerodynam\"   \"configur\"    \"dual\"        \"fan\"         \"fixedw\"     \n",
       "[291] \"motion\"      \"multirotor\"  \"progress\"    \"100694\"      \"airship\"    \n",
       "[296] \"balloon\"     \"coaxial\"     \"cruis\"       \"darvishpoor\" \"ductedfan\"  \n",
       "[301] \"hassanalian\" \"magnus\"      \"monorotor\"   \"rotor\"       \"tail\"       \n",
       "[306] \"tailsitt\"    \"thrust\"      \"tilt\"        \"tiltrotor\"   \"torqu\"      \n",
       "[311] \"uass\"        \"vertic\"      \"vtol\"       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<<DocumentTermMatrix (documents: 5, terms: 9473)>>\n",
      "Non-/sparse entries: 14189/33176\n",
      "Sparsity           : 70%\n",
      "Maximal term length: 129\n",
      "Weighting          : term frequency (tf)\n",
      "Sample             :\n",
      "               Terms\n",
      "Docs            attack control develop drone fig secur system uav uavs use\n",
      "  1 _ one.txt       12      17      30   178   2    25     15  19   28  25\n",
      "  2 _ two.txt      211      43      30    32  26   335    130 274  313 146\n",
      "  3 _ three.txt      8       7      44   366   0     3     19  12    4  26\n",
      "  4 _ four.txt      35      60      24    40  10    34     97 161   76  71\n",
      "  5 _ five.txt       9     270     169   489 300     5    117  82   17 172\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<<DocumentTermMatrix (documents: 5, terms: 9473)>>\n",
      "Non-/sparse entries: 14189/33176\n",
      "Sparsity           : 70%\n",
      "Maximal term length: 129\n",
      "Weighting          : term frequency (tf)\n",
      "Sample             :\n",
      "               Terms\n",
      "Docs            attack control develop drone fig secur system uav uavs use\n",
      "  1 _ one.txt       12      17      30   178   2    25     15  19   28  25\n",
      "  2 _ two.txt      211      43      30    32  26   335    130 274  313 146\n",
      "  3 _ three.txt      8       7      44   366   0     3     19  12    4  26\n",
      "  4 _ four.txt      35      60      24    40  10    34     97 161   76  71\n",
      "  5 _ five.txt       9     270     169   489 300     5    117  82   17 172\n"
     ]
    },
    {
     "data": {
      "image/png": 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+AAACAnUexMS5tyf/hn03zqDBn5rp/K2rV0RW6VAAAApsKikWlZ2eTaunj+vAVn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     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
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PDw8HyEe1nc+S0DBo3e+c+tzINl6nVc8sv/utYo+tqHxVuiVtexp/3fnTdq0IRZ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\nJEGxAwAAkATFDgAAQBIUOwAAAElQ7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T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\nQmCC"
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this research paper text analysis work was originally done as a part of a project for an abstract, titled \"UNREGULATED DRONES AND THEIR IMPACT\", submitted to a research conference, named \"STUDENTS ON THEIR WAY TO SCIENCE\", in april of 2024 CE ;\n",
    "# the final version of the abstract can be found online in the conference proceedings publicaly available on the official website (direct link = \"https://www.sws.lbtu.lv/sites/sws/files/pages/attachments/SWS%20PROCEEDINGS_2024_FINAL.pdf\") ;\n",
    "# this practice code for \"r_studio\" was originally prepared by \"swarn s. w. (a. y.)\" with the \"cc-by-nc-sa\" license ;\n",
    "install.packages(\"tm\")\n",
    "install.packages(\"SnowballC\")\n",
    "library(tm)\n",
    "library(SnowballC)\n",
    "# checking the current working directory address ;\n",
    "print(\"checking the current working directory address ...\")\n",
    "getwd()\n",
    "# listing all files in the current working directory ;\n",
    "print(\"listing all files in the current working directory ...\")\n",
    "list.files()\n",
    "# moving on to the practice code ;\n",
    "print(\"moving on to the practice code ...\")\n",
    "# my.corpus = Corpus(DirSource(\"C:/Users/Students/Downloads/my_corpus\"))\n",
    "# my.corpus = Corpus(DirSource(\"E:/_studies_/_ LBTU LLU _/2nd semester/scientific publication writing/my_corpus\"))\n",
    "my.corpus <- Corpus(DirSource(\"/kaggle/input/my-corpus/my_corpus\"))\n",
    "my.corpus <- tm_map(my.corpus, removePunctuation)\n",
    "my.corpus <- tm_map(my.corpus, removeWords, stopwords(\"english\"))\n",
    "my.stops <- c(\"View\", \"PDFView\", \"articleView\", \"ScopusGoogle\", \"Scholar\",\"the\", \"The\", \"articlea0\", \"2019\", \"2020\", \"2021\", \"can\", \"use\", \"question\")\n",
    "my.corpus <- tm_map(my.corpus, removeWords, my.stops)\n",
    "my.corpus <- tm_map(my.corpus, stemDocument)\n",
    "my.tdm <- TermDocumentMatrix(my.corpus)\n",
    "inspect(my.tdm)\n",
    "my.df <- as.data.frame(inspect(my.tdm))\n",
    "my.df.scale <- scale(my.df)\n",
    "d <- dist(my.df.scale,method=\"euclidean\")\n",
    "fit <- hclust(d, method=\"ward.D2\")\n",
    "plot(fit)\n",
    "findFreqTerms(my.tdm, 35)\n",
    "my.dtm <- DocumentTermMatrix(my.corpus)\n",
    "inspect(my.dtm)\n",
    "my.df1 <- as.data.frame(inspect(my.dtm))\n",
    "my.df.scale1 <- scale(my.df1)\n",
    "d1 <- dist(my.df.scale1,method=\"euclidean\")\n",
    "fit1 <- hclust(d1, method=\"ward.D2\")\n",
    "plot(fit1)\n",
    "# the end ;"
   ]
  }
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