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
トピックモデルによる統計的潜在意味解析 3.2.3 ~ 3.2.4 / topic-model...
Search
ysekky
January 07, 2016
Research
570
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
トピックモデルによる統計的潜在意味解析 3.2.3 ~ 3.2.4 / topic-model-3-2-3
ysekky
January 07, 2016
More Decks by ysekky
See All by ysekky
スタートアップの開発サイクルに学ぶ 研究活動の進め方 / research practices inspired by startup business strategy
ysekky
0
2.5k
[論文紹介] A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets (Recsys2020) / recsys20-reading-gunosy-datapub
ysekky
3
2.9k
JSAI2020 OS-12 広告とAI オープニング / JSAI2020-OS-12-ads-and-ai-opening
ysekky
0
2.3k
JSAI2020インダストリアルセッション - Gunosyにおける研究開発 / jsai2020-gunosy-rd-examples
ysekky
1
840
ウェブサービス事業者における研究開発インターン[株式会社Gunosy] - テキストアナリティクスシンポジウム2019 / research-intern-case-study-at-gunosy
ysekky
0
3.1k
Gunosyにおけるニュース記事推薦/ news-recommendation-in-gunosy-webdbf2019
ysekky
1
1.6k
DEIM2019技術報告セッション - Gunosyの研究開発 / deim-2019-sponsor-session-gunosy-research
ysekky
0
1.3k
Analysis of Bias in Gathering Information Between User Attributes in News Application (ABCCS 2018)
ysekky
1
2.5k
世代による政治ニュース記事の閲覧傾向の違いの分析 - JSAI2018 / Analysis of differences in viewing behavior of politics news by age
ysekky
0
4.1k
Other Decks in Research
See All in Research
SOTAのさらに先へ:厳しい推論制約下での高性能モデルのPost-Training
analokmaus
0
1.5k
SoftMatcha 2: 1兆語規模コーパスの超高速かつ柔らかい検索
e869120_sub
7
3.8k
Fukui Shibiten 39 - AI Art
butchi
0
190
Physical AIでモデリングはどう変わるか/How Physical AI Will Change Modeling
stktu
0
180
AIエージェント時代のLLM-jpモデルのあるべき姿
k141303
0
630
OWASP AISVS - C7
shiell
2
770
「AIとWhyを深堀る」をAIと深堀る
iflection
0
620
Spatial Active Noise Control Based onSound Field Interpolation Incorporating Physical Constraints
skoyamalab
0
190
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
240
JPA2026_NetworkTutorial_JunKashihara
junkashihara
0
160
ros2-perf-multihost: 分散システムにおける客観的なアーキテクチャ評価フレームワーク
takasehideki
0
260
SLAMはどこまで解決されたのか?
tomonom
0
1.4k
Featured
See All Featured
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
300
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.8k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
420
Designing for Performance
lara
611
70k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
520
Prompt Engineering for Job Search
mfonobong
0
450
Build your cross-platform service in a week with App Engine
jlugia
234
19k
WCS-LA-2024
lcolladotor
0
830
Typedesign – Prime Four
hannesfritz
42
3.2k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
600
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
900
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
230
Transcript
τϐοΫϞσϧʹΑΔ౷ܭతજࡏҙຯ ղੳ 3ষ ֶशΞϧΰϦζϜ(3.2.3 ~ 3.2.4) Yoshifumi Seki GunosyσʔλϚΠχϯάݚڀձ #98
2016.01.06
3.2.3 LDAͷΪϒεαϯϓϦϯά ·ͣLDAͷશ֬มͷ݁߹Λߟ͑Δ ͔͜͜Βؔͷͳ͍߲Λফͯ͠αϯϓϧͷੜΛߦ͏
จॻ ʹ͓͚Δ ൪ͷજࡏม
จॻ ʹ͓͚Δ ൪ͷજࡏม ͱͳΔΑ͏ʹਖ਼نԽ͢Δͱ ϙΠϯτ • ΛऔΓͬͯൺྫʹ͍ͯ͠ΔͷͰ, ૯͕1ʹͳΔΑ͏ʹઃఆ͢Ε֬ʹͰ͖Δ
ͷ͖݅ಠཱੑ άϥϑΟΧϧϞσϧΑΓ, ʹͷΈґଘ͕ؔ͋ Δɽ (3.29)͜ͷ݅Λຬ͍ͨͯ͠Δɽ
ͷαϯϓϦϯά
ͷαϯϓϦϯά Λ༻͍Δͱ • σΟϦΫϨͷࣄޙͳͷͰσΟϦΫϨͷܗʹͳΔΑ͏ʹ͍ͨ͠ɽ • ͳͷͰ૯Ͱද͢͜ͱ͕Ͱ͖ΔΑ͏ʹࣜมܗ͍ͯ͠Δ
ͷαϯϓϦϯά (2.11)ΑΓ Diricheletʹै͏ͷͰ
ͷαϯϓϦϯά
ͷαϯϓϦϯά Ҏ্͔Β
ͷαϯϓϦϯά (2.11)ΑΓ Diricheletʹै͏ͷͰ
ΪϒεαϯϓϦϯάʹΑΔಋग़
3.2.4 LDAͷपลԽΪϒεαϯϓϦϯά จॻ ͰજࡏτϐοΫ ͕ݱΕͨ୯ޠ શจॻʹରͯ͠τϐοΫ ͕୯ޠ ʹରͯ͠ਪఆ͞Εͨؔ
ʹ͓͚ΔपลԽ
ʹ͓͚ΔपลԽ ΑΓ
ʹ͓͚ΔपลԽ σΟϦΫϨͳͷͰ, σΟϦΫϨͷظͱͯ͠ܭࢉ͢Δ
None