Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
AWS Loft Tokyo のASK AN EXPERT ブースにおけるご相談・ご対応ロ...
Search
Eiji Shinohara
February 23, 2019
Technology
0
660
AWS Loft Tokyo の ASK AN EXPERT ブースにおける ご相談・ご対応ログ を分析しました :) / ASK AN EXPERT at AWS Loft Tokyo - Tech Consulting Log Analysis
delivered this talk at JAWS DAYS 2019 (
https://jawsdays2019.jaws-ug.jp/
)
Eiji Shinohara
February 23, 2019
Tweet
Share
More Decks by Eiji Shinohara
See All by Eiji Shinohara
Algolia Best Practices Fall 2020
shinodogg
2
1.2k
Algolia Fall 20 Release - wrap up in Japanese
shinodogg
0
930
Algolia 2020 Autumn
shinodogg
0
3.3k
Algolia introduction - DEMO and Ranking Formula
shinodogg
0
470
Introducing Algolia with Demo
shinodogg
0
6.1k
Algolia Announces Global Expansion Into Japan
shinodogg
0
2.5k
Introducing Algolia in a nutshell
shinodogg
1
1.3k
Building and Running Microservices with AWS
shinodogg
0
740
Accelerating AdTech on AWS in Japan
shinodogg
1
340
Other Decks in Technology
See All in Technology
20251219 OpenIDファウンデーション・ジャパン紹介 / OpenID Foundation Japan Intro
oidfj
0
500
AI時代のワークフロー設計〜Durable Functions / Step Functions / Strands Agents を添えて〜
yakumo
3
2.2k
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
Lookerで実現するセキュアな外部データ提供
zozotech
PRO
0
200
Oracle Database@AWS:サービス概要のご紹介
oracle4engineer
PRO
1
400
Strands Agents × インタリーブ思考 で変わるAIエージェント設計 / Strands Agents x Interleaved Thinking AI Agents
takanorig
5
2.1k
Introduce marp-ai-slide-generator
itarutomy
0
120
Oracle Database@Azure:サービス概要のご紹介
oracle4engineer
PRO
2
200
AgentCore BrowserとClaude Codeスキルを活用した 『初手AI』を実現する業務自動化AIエージェント基盤
ruzia
7
1.5k
AIBuildersDay_track_A_iidaxs
iidaxs
4
1.3k
テストセンター受験、オンライン受験、どっちなんだい?
yama3133
0
160
LayerX QA Night#1
koyaman2
0
260
Featured
See All Featured
Code Review Best Practice
trishagee
74
19k
Paper Plane (Part 1)
katiecoart
PRO
0
1.9k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
0
63
Un-Boring Meetings
codingconduct
0
160
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
1
1.3k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
980
Paper Plane
katiecoart
PRO
0
44k
The #1 spot is gone: here's how to win anyway
tamaranovitovic
1
870
The SEO Collaboration Effect
kristinabergwall1
0
310
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.5k
What the history of the web can teach us about the future of AI
inesmontani
PRO
0
370
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
510
Transcript
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ) 9C :KN : E / L A
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ( ) 2 7B : @ @ @ : A : @ @ @ 31 .4A4 T c 0 - a WS ML 31 /@8 2@ @ JI L J
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Loft Tokyo? ASK AN EXPERT?
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT @ AWS Loft Tokyo ! 2 01 8 - AWS ! Startup Developer J
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Cloud9
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Tokenization Word2Vec
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Tokenization from janome.tokenizer import Tokenizer t = Tokenizer("userdic.csv", udic_enc="utf8") f = io.open('./sodan.txt', 'r', encoding='utf-8’) tokens = t.tokenize(line) for token in tokens: partOfSpeech = token.part_of_speech.split(',')[0] if partOfSpeech == u'’: if token.surface == ‘https’: pass elif token.surface.isnumeric(): pass else: sodan_words.append(token.surface) https://github.com/mocobeta/janome
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Word2Vec from gensim.models import word2vec sodan_sentences = word2vec.Text8Corpus('./sodan_words.txt') sodan_model = word2vec.Word2Vec(sodan_sentences, size=200, min_count=20, window=15) results = sodan_model.wv.most_similar(positive=[u'']) for result in results: print(result) https://github.com/RaRe-Technologies/gensim
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT Logs ! 43 9D 9 . 3 058675 2 3 1 . 3 - 2 3 43 058675 3 . 3 I 9D EAC :
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT Logs ! 2 A L . 201 65 - A 201 2 743 . 8 9:
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Loft Tokyo - ASK AN EXPERT Logs • EC2/RDS/S3 27)+&(70*T LO G;@ ! ⇒ <8=CU • "$Lambda'6,.FMIJT ?QK/ %524LOU ⇒ > J • AWS9SAWS(37-IJ:ND AB# (*´∀V*) " E HRAWS Loft Tokyo “ASK AN EXPERT”17*P J