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

Chapter 6: Convolutional Neural Networks

Detect hate speech in tweets

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

Natural Language Processing pipeline including fundamentals, feature engineering and modeling.

A word2vec model to cluster tweets and rank them (live tweet filtering)

To predict the location of tweet from where it is tweeted