[1] TextBlob:
http://textblob.readthedocs.io/en/dev/
[2] NLTK Sentiment Analysis:
http://www.nltk.org/howto/sentiment.html
[3] NLTK Sentiment Analyser class:
http://www.nltk.org/_modules/nltk/sentiment/sentiment_analyzer.html
[4] LSTMs for Sentiment Analysis:
http://deeplearning.net/tutorial/lstm.html
[5] Understanding LSTM Networks:
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
[6] Reddit:
https://www.reddit.com/
[7] News subreddit:
https://www.reddit.com/r/news/
[8] JSON:
https://docs.python.org/3.6/library/json.html
[9] Time library:
https://docs.python.org/3.6/library/time.html
[10] sense2vec:
https://explosion.ai/demos/sense2vec
[11] Twitter datasets:
http://thinknook.com/twitter-sentiment-analysis-training-corpus-dataset-2012-09-22/
[12] Tweepy:
http://www.tweepy.org/
[13] Tweepy authentication tutorial:
http://tweepy.readthedocs.io/en/v3...
