Sentiment analysis for English and Spanish (Implicit & Explicit)

import discourse_mapper import linguist

dm=discourse_mapper.discourse_mapper()

tweet={"text":'this is a test','user':'foobar'}

tokens=linguist.process(tweet['text']) dm.add(tokens,tweet['user']

dm._get_sentiment('user1','user2')

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
SpanishSentimentLexicons		SpanishSentimentLexicons
data		data
english		english
.gitignore		.gitignore
Max_ORMS.pdf		Max_ORMS.pdf
README.md		README.md
Slides.pptx		Slides.pptx
SpanishSentimentLexicons.tar.gz		SpanishSentimentLexicons.tar.gz
discourse_mapper.py		discourse_mapper.py
english_stoplist.py		english_stoplist.py
explicit_sentiment.py		explicit_sentiment.py
linguist.py		linguist.py
multimode.py		multimode.py
requirements.txt		requirements.txt
senti.tmproj		senti.tmproj
sentiment_demo.py		sentiment_demo.py
spanish_stoplist.py		spanish_stoplist.py
text_sentiment.py		text_sentiment.py
wordbag.py		wordbag.py

archnemesis/snowwhite