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.
Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric
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
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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