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The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in NLP algorithms, neural architectures, and distributed machine learning systems. The content is based on our past and potential future engagements with customers as well as collaboration with partners, researchers, and the open source community.
Feature Extraction, bigrams and trigrams, TFidf vectorizer, Generate wordcloud
Project for Parallel Computing course. Sequential and parallel implementations of Bigrams search algorithm in Java.
Using PMI method and Chi-Squared Method, this program scores bigrams on their probablilty of being a collocation. The top 20 scores are displayed as output for both methods.