Deep-Learning-Papers-Reading-Roadmap, Blockchain-stuff, dirtycow.github.io, BigBang, Multi-Selection, vue, Consensus-Based-Summarizer, google-interview-university, CacheP2P, yarn, awesome-programmers, Macaw, BluetoothHelper, Sentiment-Analysis-Twitter and more!
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RESEARCH
[NLP 
] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generic or user-configured summaries of a large amount of unorganized text. We are currently using a number of independent text-mining algorithms based on different statistical models to compute the summaries and combining them using configurable consensus techniques.
[NLP 
] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter. 
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