shayneobrien/language-modeling
Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.
This project helps sentiment analysts by offering different language models to classify text. It takes raw text like movie reviews as input and outputs a classification of its sentiment, such as positive or negative. It is designed for data scientists and NLP practitioners who need to build or evaluate text classification systems.
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Use this if you need to understand or implement various language models for text classification tasks, particularly for sentiment analysis.
Not ideal if you're looking for a ready-to-use, pre-trained model or a simple API to perform sentiment analysis without getting into the underlying model details.
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Oct 08, 2018
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