Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
テキストマイニングによるプロ野球監督の分析 / Baseball Play Study 2...
Search
7pairs
December 19, 2016
Programming
86
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
テキストマイニングによるプロ野球監督の分析 / Baseball Play Study 2016 Winter
7pairs
December 19, 2016
More Decks by 7pairs
See All by 7pairs
Pythonによる契約プログラミング入門 / PyCon JP 2025
7pairs
7
4.7k
Privacy Sandbox on Android / DroidKaigi 2024
7pairs
1
1.2k
テキストマイニングによるプロ野球の順位予想 / Baseball Play Study 2020 Winter
7pairs
0
590
2020年の振り返りとBaseball Play Studyの振り返り / Jisyupy 29
7pairs
0
410
Because Python is there. / Jisyupy 27
7pairs
0
540
野球好きのための快適なプレゼンテーション環境の構築 / Baseball Play Study 2019 Winter
7pairs
0
1.1k
ちゃんと実装してちゃんとテストしよう / PyCon mini Hiroshima 2019
7pairs
2
1.1k
Pie Meets Py / PyCon JP 2019
7pairs
3
6k
テキストマイニングによる新外国人選手の分析 / Baseball Play Study 2019 Spring
7pairs
0
3.1k
Other Decks in Programming
See All in Programming
From 6 People Classroom Meetup to 100 People Regional Conference / FOSS4G Hiroshima 2026
furukawayasuto
0
200
XHTMLが残したもの
yosuke_furukawa
PRO
2
800
更なる可用性を求めて、5年間運用したKotlinのアプリケーションをGoでリプレイスする話
ken_tunc
0
230
LL言語やWebフレームワークのPostgreSQL対応 〜DBの機能がユーザーに届くまで〜
kentaroutakeda
1
150
【DroidKaigi 2026】「アクセシビリティを利用するとき、 アクセシビリティもまたこちらを利用している」 〜マルウェアによる攻撃と防衛について〜
halunoyo
0
460
Vibes Containers 〜AIで変わるコンテナ設計と運用〜
tkikuc
3
540
The Good Stuff, Not the Slop: Engineering High-Quality Android Apps with Modern AI Tooling
danybony
1
250
What We Talk About When We Talk About XP
m_seki
2
620
Webの地図
yosuke_furukawa
PRO
6
4.4k
AGENTS.md Is Not Enough:Build Skills, Don't Download Them
lx_t
0
110
大喜利で理解するLLM as a Judge / Understanding LLM-as-a-Judge through Ogiri
rockname
0
100
LoopHub - ローカルで動く GitHub で、AI と共同開発
jugyo
1
550
Featured
See All Featured
Imperfection Machines: The Place of Print at Facebook
scottboms
270
14k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
450
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.9k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
500
Marketing to machines
jonoalderson
1
5.8k
The Cost Of JavaScript in 2023
addyosmani
55
10k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
67
58k
How to Talk to Developers About Accessibility
jct
2
550
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
280
Java REST API Framework Comparison - PWX 2021
mraible
34
9.7k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
2
1.8k
Bootstrapping a Software Product
garrettdimon
PRO
306
120k
Transcript
ςΩετϚΠχϯάʹΑΔ ϓϩٿಜͷੳ ୩ ५ 2016-12-19 BPStudy#112
ͨΓোΓͷͳ͍ࣗݾհ • ୩ ५ʢͤ ͡ΎΜʣ • Twitterɿ@7pairs • GitHubɿhttps://github.com/7pairs •
גࣜձࣾΞΠϞόΠϧॴଐ • WebΤϯδχΞ݉AndroidΤϯδχΞ • C#ɺJavaScriptɺJava…
ͨΓোΓͷ͋Δࣗݾհ • ͖ͳνʔϜ ࡛ۄϥΠΦϯζ • ͖ͳબख ઙଜӫేɺ౦ژΞΫΞϥΠϯͰ͠Ό͍Ͱ͠·ͬͨਓ • ͖ͳνϟϯεςʔϚ νϟϯς4
• ͖ͳϊʔώοτϊʔϥϯະ 20055݄13 vs.ಡചδϟΠΞϯπઓ • ͖ͳFAਓతิঈ ߐ౻ஐ • ͖ͳବ֎ਓ ϚΠΫɾύάϦΞϧʔϩɺΞʔΩʔɾγΞϯϑϩοί
͓ئ͍ ۀͰ͜ͷΑ͏ͳదͳੳΛ͍ͯ͠ΔΘ͚Ͱ͋Γ ·ͤΜͷͰɺࠓճͷൃද͋͘·Ͱωλͱָ͓ͯ͠͠Έ ͍ͩ͘͞ɻ
͡Ίʹ
֓ཁ • BPStudy#103Ͱൃදͨ͠ʮςΩετϚΠχϯάʹΑΔϓϩ ٿબखͷੳʯͷଓฤʢͰ͕͢ɺલճͷ༰Λ͍ͬͯ Δඞཁ͋Γ·ͤΜʣ • http://www.slideshare.net/7pairs/20160322-the- analysis-of-professional-baseball-players-by-text-mining • લճڍ͕ͬͨ՝ͷղܾʹνϟϨϯδ
• ղੳରͷจষ͕࣭ɾྔͱʹΓͳ͍ • σʔλͷࣄલॲཧʹ͕͔͔࣌ؒΓ͗͢Δ
՝ͷղܾᶃ • લճൃද͢Δ͜ͱ͕ܾ·͔ͬͯΒจষΛूΊ࢝Ίͨ • εϙʔπࢴαΠτͷτοϓϖʔδ͔ΒḷΕΔϖʔδ • GoogleͷΩϟογϡʹ͍ͬͯΔϖʔδ • ࠓճલճͷൃදޙ͔Βಈ͖࢝Ίͨ •
ఆظతʹهࣄΛΫϩʔϧ͢ΔγεςϜͷߏங • աڈͷهࣄʹؔͯ͠ɺ֤εϙʔπࢴαΠτͷݕࡧγ εςϜΛۦͯ͠ଟ༷ͳهࣄΛऔಘ
՝ͷղܾᶄ • લճಉબखΛ۠ผͯ͠ѻ͏ͨΊͷσʔλࣄલॲཧʹ࣌ؒͷ େΛ͍͔࣋ͬͯΕͨ • ࠓճʮಜʯΛςʔϚʹબͼɺࣄલॲཧͷ࣌ؒΛେ෯ʹॖ • ಜهࣄதͰݺͼࣺͯʹ͞ΕΔ͜ͱ΄ͱΜͲͳ͍ͷͰɺ ʮ܀ࢁಜʯʮ܀ࢁࢯʯຊϋϜͷ܀ࢁಜɺʮ܀ࢁʯ ͷ܀ࢁબखͱஅ
• ࠓճͷରظؒ2012ʙ2016ͷ5ؒͰ͋Γɺ͜ͷظؒ Ͱಉͷಜଘࡏ͠ͳ͍
εϙʔπࢴͷهࣄΛੳͯ͠Έͨ
ੳͷత • εϙʔπࢴͷهࣄΛੳ͢Δ͜ͱͰɺಜͷಛΛͱ Β͑Δ͜ͱ͕Ͱ͖ͳ͍͔ • ࡃͷతதʗࣦഊ • બखͷϛεʹରͯ͠େΒ͔ʗݫ͍͠ • Ϛφʔʹ͏Δ͘͞ͳ͍ʗݫ͍͠
• ବᔬམΛݴ͏ʗݴΘͳ͍
ੳରͷσʔλ • εϙʔπࢴαΠτͷ2012ʙ2016ͷهࣄ • ެڞੑͷߴ͍ɺશࠃࢴࡿԼͷεϙʔπࢴͷΈΛର • ץεϙʔπ • εϙʔπχοϙϯ •
εϙʔπใ • αϯέΠεϙʔπ
ੳख๏ • هࣄΛMeCabͰ͔ͪॻ͖͢Δ • ϕʔεͷࣙॻmecab-ipadic-NEologd • Wikipediaͷݟग़͠ޠ • ͯͳΩʔϫʔυ •
Word2VecͰ୯ޠΛϕΫτϧԽ • ࣍ݩݮͯ͠2࣍ݩʹϓϩοτ͢Δ • ϕΫτϧͷՃݮΛߦ͍ɺʮ༏উʯͱͷྨࣅΛݟΔ
2012ʙ2016ͷಜΛϓϩοτͯ͠Έͨ
None
ຊγϦʔζ ग़ಜͷօ͞Μ
γʔζϯ్த ٳཆͷօ͞Μ
ٳཆεϨεϨ ాᬑ͞Μ
ବᔬམ ࡃͱผͷ࣠
͓·͚ɿຊදͷಜϓϩοτͯ͠Έͨ
None
͋ͬʢ͠ʣ
ʮ༏উʯͱͷྨࣅΛݟͯΈͨ
֤νʔϜͱʮ༏উʯͱͷྨࣅ ୯ޠ ྨࣅ ԬιϑτόϯΫ ౡ౦༸
ւಓຊϋϜ ಡച ԣ%F/" ࡕਆ ઍ༿ϩος ϠΫϧτ ΦϦοΫε ࡛ۄ ౦ָఱ த
ಜΛҾ͍ͯΈͨ ୯ޠ ॱҐมಈ ԬιϑτόϯΫ౻ ౡ౦༸ॹํ
࡛ۄాᬑ ˢ ࡕਆۚຊ ˢ ϠΫϧτਅத ˢ ಡചߴڮ ˣ ઍ༿ϩοςҏ౦ த୩ൟ ˢ ΦϦοΫεྑ ւಓຊϋϜ܀ࢁ ˣ ԣ%F/"ϥϛϨε ˣ ౦ָఱསా ˣ
ϔουίʔνҾ͍ͯΈͨ ୯ޠ ॱҐมಈ ࡛ۄాᬑை࡚ ˢ ԬιϑτόϯΫ౻ ˣ
ౡ౦༸ॹํߴ ˣ ࡕਆۚຊߴ ˢ ಡചߴڮଜా ˣ ϠΫϧτਅதࡾ ˢ ઍ༿ϩοςҏ౦ ΦϦοΫεྑଜ ˢ ւಓຊϋϜ܀ࢁ ˣ த୩ൟ ˢ ԣ%F/"ϥϛϨεਐ౻ ˣ ౦ָఱསాਔଜ ˣ
·ͱΊ
·ͱΊ • νʔϜͷͱͷؔ࿈͋ΔఔݟΒΕͨ • ͨͩ͠ɺͦΕ͕ಜͷೳྗ͔ͱ͍͏ͱඍົ • ಜͷࢼ߹֎ͷݴಈΛੳ͢Δͱ͜Ζ·ͰͨͲΓண͔ ͳ͔ͬͨʢࠓޙͷ՝ʣ • སాແͩ͠
• དྷͷWBCੜԹ͔͘ݟकΖ͏
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ དྷΑΖ͓͘͠ئ͍͍ͨ͠·͢