The document summarizes a presentation about using Cloud Natural Language API as a preprocessor for machine learning. It describes a sentiment analysis game where participants submit positive sentences about either Google Cloud Platform or AWS. The architecture of the demo uses the Cloud NL API to classify sentences by category and vectorize sentences for analysis in a web app, Firebase database, and BigQuery. The presentation encourages using the API for its ease of extracting words from sentences without a dictionary or special language knowledge.

1. Using Cloud Natural Language API
as a Preprocessor
〜NL APIを前処理に使ってみよう〜
GCPUG Machine Learning Day
Nov. 1, 2017
Hayato Yoshikawa

2. Hi there!
● Hayato Yoshikawa
@hayatoy @hayatoy82
● Publication!
今月末に「Google Cloud Platformでは
じめる機械学習・深層学習」という本が
出ます！

3. Demo

4. Let’s play a sentiment analysis game!
Rules
● Split into Team A and B
● Submit POSITIVE sentences
● Team A must submit sentences of GCP
● Team B must submit sentences of
AWS
● No matter English or Japanese
Examples
“Cloud Functionsはサーバーレスで簡単！ ”
Main Screen
& Presenter
Team A
(GCP)
Team B
(AWS) Entrance →
Billiards ↓

5. Had fun?
https://github.com/hayatoy/nl-bubble

6. Thanks for your contribution…
TO MAKE DATASET! :D
みなさんの投稿は学習データとして
使わせてもらいました ^p^

7. Web App
Architecture of the Demo
Front-end Web App
App Engine
Firebase
Realtime DB
Cloud Natural
Language API
Front-end Web App
App Engine
Insert rows
via REST API
Get sentiment
analysis result
BigQuery
Cloud
Datalab
Insert rows
via REST API
Cloud Natural
Language API

8. Classifying the Category of Sentence
GAEはインスタンスの立ち上がりがとても速い！
Which category is this sentence?
GCP? or AWS?

9. Vectorizing Sentences
GAEはインスタンスの立ち上がりがとても速い！
GAE instance spin up time is very fast!
Easy as pie.. Just split by space.
No space! Complex kana suffixes!

10. Syntax Analysis with Cloud NL API
✓ Easy to extract words
✓ No dictionary needed
✓ No special knowledge needed

11. Demo
Check my gist:
https://gist.github.com/hayatoy

12. Thank you!