GitHub - williamsdoug/NLTK

This repository has been archived by the owner on May 19, 2021. It is now read-only.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
Gensim Tutorials.ipynb		Gensim Tutorials.ipynb
GensimStreamingTweetCorpus-Rob.ipynb		GensimStreamingTweetCorpus-Rob.ipynb
GensimStreamingTweetCorpus.ipynb		GensimStreamingTweetCorpus.ipynb
Labeled LDA.ipynb		Labeled LDA.ipynb
MPQA.ipynb		MPQA.ipynb
Parse Tweets using CMU-ROB.ipynb		Parse Tweets using CMU-ROB.ipynb
Parse Tweets using CMU.ipynb		Parse Tweets using CMU.ipynb
Pattern NLP.ipynb		Pattern NLP.ipynb
Sentiment-Bayes.ipynb		Sentiment-Bayes.ipynb
StreamingTweetCorpus.ipynb		StreamingTweetCorpus.ipynb
Tweet Analyze Vocab.ipynb		Tweet Analyze Vocab.ipynb
Tweet Anatomy for UCLA Corpus.ipynb		Tweet Anatomy for UCLA Corpus.ipynb
Tweet Clustering (old).ipynb		Tweet Clustering (old).ipynb
Tweet Clustering Gensim-Experimental.ipynb		Tweet Clustering Gensim-Experimental.ipynb
Tweet Clustering scikit-learn-Experimental-DBSCAN.ipynb		Tweet Clustering scikit-learn-Experimental-DBSCAN.ipynb
Tweet Clustering scikit-learn-Experimental-ROB.ipynb		Tweet Clustering scikit-learn-Experimental-ROB.ipynb
Tweet Clustering scikit-learn-Experimental.ipynb		Tweet Clustering scikit-learn-Experimental.ipynb
Tweet Clustering scikit-learn.ipynb		Tweet Clustering scikit-learn.ipynb
Tweet Clustering.ipynb		Tweet Clustering.ipynb
UCLA.json		UCLA.json
Word Clusters (old).ipynb		Word Clusters (old).ipynb
Word Clusters-PatternNLP.ipynb		Word Clusters-PatternNLP.ipynb
Word Clusters-Sentiment.ipynb		Word Clusters-Sentiment.ipynb
Word Clusters-Sentiment.ipynb.json		Word Clusters-Sentiment.ipynb.json
Word Clusters-Sentiment.py		Word Clusters-Sentiment.py
Word Clusters-Word Chunks.ipynb		Word Clusters-Word Chunks.ipynb
Word Clusters.ipynb		Word Clusters.ipynb
cmu_ark_50mpaths2.txt		cmu_ark_50mpaths2.txt
cmu_tweet_word_clusters.py		cmu_tweet_word_clusters.py
empt_sentiment.py		empt_sentiment.py
example Feature Extraction - Scikit-learn.ipynb		example Feature Extraction - Scikit-learn.ipynb
example K-Means.ipynb		example K-Means.ipynb
example NLTK.ipynb		example NLTK.ipynb
example WordNet lookup.ipynb		example WordNet lookup.ipynb
my_feature_ex.py		my_feature_ex.py
my_twitter_license.py		my_twitter_license.py
my_word_cloud.py		my_word_cloud.py
old NLTK_Tweet_Study.ipynb		old NLTK_Tweet_Study.ipynb
old NLTK_Tweet_UCLA.ipynb		old NLTK_Tweet_UCLA.ipynb
old Tweet Clustering.ipynb		old Tweet Clustering.ipynb
old Word Clusters.ipynb		old Word Clusters.ipynb
test sklearn.ipynb		test sklearn.ipynb
tfidf_clustering.py		tfidf_clustering.py
ucla_tweets.pkl		ucla_tweets.pkl
wordsEn.txt		wordsEn.txt

Repository files navigation

#Substitute by Twtter OAuth information
#
#Use the access token string as your "oauth_token" and the access token secret as your "oauth_token_secret" to sign requests with your own Twitter account.
#
#Access_token         = '1493882754-hqzlGkz1enG4nhFTUcDZsAIyTTfYjVtHdc4N06b'
#Access_token_secret' =  1yrcMl2xZY2epcmV11DyiTQdo5Knawv9nTvGcu9BFRk'
#
#Your application's OAuth settings. This key should never be human-readable in your application.
#
#Consumer_key         = 'xie7Yc92GxZaqt3vxpPnnw'
#Consumer_secret      = 'htCBt4WW6G9yeHxqrXbgrxpmmCc4L9iHuSTlDit68g'

def get_license():
    my_access_token        = '1493882754-hqzlGkz1enG4nhFTUcDZsAIyTTfYjVtHdc4N06b'
    my_access_token_secret = '1yrcMl2xZY2epcmV11DyiTQdo5Knawv9nTvGcu9BFRk'
    my_consumer_key        = 'xie7Yc92GxZaqt3vxpPnnw'
    my_consumer_secret      = 'htCBt4WW6G9yeHxqrXbgrxpmmCc4L9iHuSTlDit68g'
    license  = (my_consumer_key,
                my_consumer_secret, # secret
                (my_access_token, 
                 my_access_token_secret)) #token
    return license