Use of scikit-learn, networkx, scipy, numpy and nltk to perform real time analysis of data.
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Updated
Apr 4, 2017 - Python
Use of scikit-learn, networkx, scipy, numpy and nltk to perform real time analysis of data.
Chapter 6: Convolutional Neural Networks
A word2vec model to cluster tweets and rank them (live tweet filtering)
Natural Language Processing pipeline including fundamentals, feature engineering and modeling.
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
Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric
To predict the location of tweet from where it is tweeted
Detect hate speech in tweets
Tweet classifier in Haskell distinguishes aggressive and non-aggressive tweets
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