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Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting
Detect hate speech in tweets
Chapter 6: Convolutional Neural Networks
Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric
Use of scikit-learn, networkx, scipy, numpy and nltk to perform real time analysis of data.
Tweet classifier in Haskell distinguishes aggressive and non-aggressive tweets
A word2vec model to cluster tweets and rank them (live tweet filtering)
To predict the location of tweet from where it is tweeted