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word2vecで女性向けQ＆Aサイトを解析してみた

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June 17, 2015
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 word2vecで女性向けQ＆Aサイトを解析してみた

2015/06/10
IVS CTO NightのLTで発表したプレゼン資料です。
word2vecにmamariQ内のテキストを使用してみました。
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June 17, 2015
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Transcript

  1. word2vecͰঁੑ޲͚QˍA αΠτΛղੳͯ͠Έͨ Tatsuro Shimada <[email protected]> tatsushim @ Connehito, Inc

  2. Connehito Inc. ౡాୡ࿕ʢ͠·ͩͨͭΖ͏ʣ • Connehito, Inc CTO • Πϯϑϥ͔Βϑϩϯτ·Ͱ •

    ͋ͱ͓՛ࢠͷങ͍ग़͠ PROFILE @tatsushim 2

  3. ϚϚϦͱ͸ʁ Connehito Inc. 3

  4. Connehito Inc. ϚϚϦjp (❨web)❩ ϚϚϦ2 (❨ΞϓϦ)❩ ϚϚϦKQ / ϚϚϦ2 ϝσΟΞ

    ίϛϡχςΟ 4

  5. Connehito Inc. ࣭໰΁ͷճ౴ ˋ௒ ճ౴͕ͭ͘·Ͱ ෼ҎԼ ΞϓϦͷ଺ࡏ࣌ؒ ෼Ҏ্ ѹ౗తͳαʔϏεͷ੒௕ 

        +VO +VM "VH 4FQ 0DU /PW %FD +BO 'FC લ݄ൺˋ੒௕ ྦྷܭ౤ߘ਺ ೛৷ɾग़࢈Ͱ೰Ήਓͷ ਓʹਓ͕݄̍ΞΫηε 5

  6. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 6 λʔήοτ ࢲ

  7. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 7 ঁੑ λʔήοτ ࢲ

  8. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 8 ঁੑ ϚϚ λʔήοτ ࢲ

  9. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 9 ঁੑ ϚϚ λʔήοτ ࢲ

    ೛৷ ग़࢈

  10. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 10 ঁੑ ϚϚ λʔήοτ ࢲ

    உੑ ೛৷ ग़࢈

  11. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 11 ঁੑ ϚϚ λʔήοτ ࢲ

    உੑ ೛৷ ग़࢈ ಠΓ਎

  12. Connehito Inc. ϚϚϦKQ / ϚϚϦ2 12 ঁੑ ϚϚ λʔήοτ ࢲ

    உੑ ಠΓ਎ ೛৷ ग़࢈ Ͱ͖ͳ͍

  13. ʘ(^o^)ʗ

  14. ʘ(^o^)ʗ Ϣʔβʔͷ͜ͱཧղ͍ͨ͠ʂ

  15. 15

  16. 16 word2vec

  17. None

  18. Connehito Inc. • Tomas Mikolovࢯ
 (౰࣌Google, ݱFacebook)͕ఏҊ • ୯ޠಉ࢜ͷؔ܎ੑΛϕΫτϧͱͯ͠දݱ •

    ୯ޠͷྨࣅ౓ͷܭࢉ΍଍͠Ҿ͖͕Մೳ word2vecͱ͸ʁ 18

  19. 19

  20. 20 ۩ମྫΛݟͯΈΑ͏

  21. word2vecͷ୅දతͳ2ͭͷ࢖͍ํ Connehito Inc. 21

  22. Display similar words Connehito Inc. 22

  23. None

  24. ྨٛޠ

  25. Interesting properties of the word vectors Connehito Inc. 25

  26. Connehito Inc. 26 word2vecͷྫ vector(‘France')

  27. Connehito Inc. 27 word2vecͷྫ - vector(‘Paris') vector(‘France')

  28. Connehito Inc. 28 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) vector(‘France')

  29. Connehito Inc. 29 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France')

  30. Connehito Inc. 30 word2vecͷྫ vector(‘Paris')

  31. Connehito Inc. 31 word2vecͷྫ - vector(‘France') vector(‘Paris')

  32. Connehito Inc. 32 word2vecͷྫ - vector(‘France') + vector(‘Italy’) vector(‘Paris')

  33. Connehito Inc. 33 word2vecͷྫ - vector(‘France') + vector(‘Italy’) = vector('Rome')

    vector(‘Paris')

  34. Connehito Inc. 34 word2vecͷྫ vector(‘king')

  35. Connehito Inc. 35 word2vecͷྫ - vector(‘man') vector(‘king')

  36. Connehito Inc. 36 word2vecͷྫ - vector(‘man') + vector(‘woman’) vector(‘king')

  37. Connehito Inc. 37 word2vecͷྫ - vector(‘man') + vector(‘woman’) = vector('queen')

    vector(‘king')

  38. ੔ཧͯ͠ΈΔ Connehito Inc. 38

  39. Connehito Inc. 39 word2vecͷྫ - vector(‘Paris') vector(‘France')

  40. Connehito Inc. 40 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) vector(‘France')

  41. Connehito Inc. 41 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France')

  42. Connehito Inc. 42 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France')}

  43. Connehito Inc. 43 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ }

  44. Connehito Inc. 44 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } +

  45. Connehito Inc. 45 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } } +

  46. Connehito Inc. 46 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } } ౦ژ +

  47. Connehito Inc. 47 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } } ౦ژ + =

  48. Connehito Inc. 48 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } } ౦ژ + = }

  49. Connehito Inc. 49 word2vecͷྫ - vector(‘Paris') + vector(‘Tokyo’) = vector('Japan')

    vector(‘France') ͋Δ౎ࢢΛट౎ͱ͢Δࠃ } } ౦ژ + = }౦ژΛट౎ͱ͢Δࠃ

  50. 50

  51. 51 mamariQͰword2vecͯ͠ΈΔ

  52. None

  53. ୯ޠͷҙຯΛද͢୯ޠ Connehito Inc. 53

  54. Connehito Inc. 54 ʮ଻ಈʯin mamariQ Word: ଻ಈ Word Cosine distance

    ------------------------------------------------------------------------ ೘ҙ 0.527825 ϙίϙί 0.516658 ҧ࿨ײ 0.432082 ಈ͖ 0.430563 ͠Όͬ͘Γ 0.406297 ͙͍ͬͨ͘͢ 0.386457 ಈ͍ 0.383030 ى෬ 0.381906 ϙίο 0.377959

  55. Connehito Inc. 55 ʮυΫϯυΫϯʯin mamariQ Word: υΫϯυΫϯ Word Cosine distance

    ------------------------------------------------------------------------ ຺ଧͭ 0.454460 ϙίο 0.425674 Ͳ͘Ͳ͘ 0.425287 ϐΫο 0.418931 ಥͬுΔ 0.417948 ϐΫϐΫ 0.415464 લଆ 0.413287 ͭͬͺΔ 0.412516

  56. Connehito Inc. 56 ʮ཭ೕ৯ʯin mamariQ Word: ཭ೕ৯ Word Cosine distance

    ------------------------------------------------------------------------ ख͔ͮΈ 0.472250 ͔ͭΈ 0.445568 ॏ౬ 0.432616 ͓͔Ώ 0.425068 τΠτϨ 0.415463 ͨΜͺ࣭͘ 0.412253 ϕϏʔμϊϯ 0.393488 λϯύΫ࣭ 0.392157 ৯ࡐ 0.390477

  57. ୯ޠͱ୯ޠͷؔ܎ੑ Connehito Inc. 57

  58. Connehito Inc. 58 vector(‘ެཱ') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  59. Connehito Inc. 59 - vector(‘ଉࢠ') vector(‘ެཱ') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  60. Connehito Inc. 60 - vector(‘ଉࢠ') + vector(‘່’) vector(‘ެཱ') ୯ޠͷ໘ന͍ؔ܎ੑ in

    mamariQ

  61. Connehito Inc. 61 - vector(‘ଉࢠ') + vector(‘່’) = vector('ࢲཱ') vector(‘ެཱ')

    ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  62. 62

  63. 63 ঁͷࢠͷํ͕ࢲཱΛݕ౼͢Δʁ

  64. Connehito Inc. 64 vector(‘νϡʔϋΠ') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  65. Connehito Inc. 65 - vector(‘͓฼͞Μ') vector(‘νϡʔϋΠ') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  66. Connehito Inc. 66 - vector(‘͓฼͞Μ') + vector(‘͓෕͞Μ’) vector(‘νϡʔϋΠ') ୯ޠͷ໘ന͍ؔ܎ੑ in

    mamariQ

  67. Connehito Inc. 67 - vector(‘͓฼͞Μ') + vector(‘͓෕͞Μ’) = vector('Ϗʔϧ') vector(‘νϡʔϋΠ')

    ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  68. 68

  69. 69 உੑͷํ͕Ϗʔϧ޷͖ʁ

  70. Connehito Inc. 70 vector(‘ՄѪ͍') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  71. Connehito Inc. 71 - vector(‘ଉࢠ') vector(‘ՄѪ͍') ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  72. Connehito Inc. 72 - vector(‘ଉࢠ') + vector(‘່’) vector(‘ՄѪ͍') ୯ޠͷ໘ന͍ؔ܎ੑ in

    mamariQ

  73. Connehito Inc. 73 - vector(‘ଉࢠ') + vector(‘່’) = vector('ՄѪ͍') vector(‘ՄѪ͍')

    ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ

  74. Connehito Inc. 74 - vector(‘ଉࢠ') + vector(‘່’) = vector('ՄѪ͍') vector(‘ՄѪ͍')

    ୯ޠͷ໘ന͍ؔ܎ੑ in mamariQ ʊਓਓਓਓਓʊ ʼɹՄѪ͍ɹʻ ʉY^Y^Y^Y
  75. None

  76. ͨͩͷ਌όΧ

  77. ೔ຊޠʹword2vecదԠ͢ΔࡍͷTips Connehito Inc. 77

  78. Connehito Inc. 78 ೔ຊޠʹword2vecదԠ͢ΔࡍͷTips

  79. Connehito Inc. • ࣙॻʹmecab-ipadic-neologdΛ࢖͏
 - Web্ͷݴޠࢿݯ͔Βಘͨ৽ޠʹରԠ 79 ೔ຊޠʹword2vecదԠ͢ΔࡍͷTips

  80. Connehito Inc. • ࣙॻʹmecab-ipadic-neologdΛ࢖͏
 - Web্ͷݴޠࢿݯ͔Βಘͨ৽ޠʹରԠ 80 ೔ຊޠʹword2vecదԠ͢ΔࡍͷTips • ۀքݻ༗ͷϫʔυ͸ͪΌΜͱొ࿥͢Δ


    - Ex. 24w3d = ೛৷͔Β24िͱ3೔໨

  81. Connehito Inc. • ࣙॻʹmecab-ipadic-neologdΛ࢖͏
 - Web্ͷݴޠࢿݯ͔Βಘͨ৽ޠʹରԠ 81 ೔ຊޠʹword2vecదԠ͢ΔࡍͷTips • ύϥϝʔλௐ੔


    - Ex. αʔϏεʹ߹Θͤͨwindow sizeΛ • ۀքݻ༗ͷϫʔυ͸ͪΌΜͱొ࿥͢Δ
 - Ex. 24w3d = ೛৷͔Β24िͱ3೔໨

  82. 82

  83. 83 ݁ہԿʹ࢖͑Δͷ͔ʁ

  84. Connehito Inc. 84 Ԡ༻ઌ

  85. Connehito Inc. • ྨٛޠݕग़ 85 Ԡ༻ઌ

  86. Connehito Inc. • ྨٛޠݕग़ 86 • QˍAίϛχϡχςΟͰ͸Qʹରͯ͠࠷΋ྑ ͍ճ౴ΛܾΊΔͱ͖ͷfeatureʹ࢖͏ͱ͔(࣮ ࡍԠ༻ͨ͠࿦จ͕͋Δ) Ԡ༻ઌ

  87. Connehito Inc. • ྨٛޠݕग़ 87 • QˍAίϛχϡχςΟͰ͸Qʹରͯ͠࠷΋ྑ ͍ճ౴ΛܾΊΔͱ͖ͷfeatureʹ࢖͏ͱ͔(࣮ ࡍԠ༻ͨ͠࿦จ͕͋Δ) •

    ͍͔ͭ͘Ծઆ͕͋ΔͷͰɺ্ख͘ߦͬͨΒ ࿦จʹͯ͠ൃ৴͍͖ͯ͠·͢ Ԡ༻ઌ

  88. ͜͜·Ͱ͕word2vecͷ͓࿩ Connehito Inc. 88

  89. Connehito Inc. • Ҏ্͕ɺword2vecΛ࢖ͬͯΈ͓ͨ࿩Ͱ͢ 89 • IVS CTO NightॳࢀՃͰϫΫϫΫͯ͠·͢ •

    ͜͏͍͏RˍDΛΈΜͳ͍ͭ΍ͬͯɺͲ͏ औΓೖΕͯΔͷ͔஌Γ͍ͨ • ͜ͷޙྑ͔ͬͨΒ͓࿩͍ͤͯͩ͘͞͞ վΊ͓ͯٓ͘͠ئ͍͠·͢ʂ

  90. Connehito Inc. • Ҏ্͕ɺword2vecΛ࢖ͬͯΈ͓ͨ࿩Ͱ͢ 90 • IVS CTO NightॳࢀՃͰϫΫϫΫͯ͠·͢ •

    ͜͏͍͏RˍDΛΈΜͳ͍ͭ΍ͬͯɺͲ͏ औΓೖΕͯΔͷ͔஌Γ͍ͨ • ͜ͷޙྑ͔ͬͨΒ͓࿩͍ͤͯͩ͘͞͞ վΊ͓ͯٓ͘͠ئ͍͠·͢ʂ ͝ਗ਼ௌ༗೉͏͍͟͝·ͨ͠ʂ