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This is an NLP projects that contains code for working with a dataset as large as the Stanford Sentiment Treebank (SST) dataset, including: loading the dataset, preprocessing the data, and implementing a multi-class logistic regression model from SCRATCH for sentiment classification, after extracting bigram features.
salmazekri/Multiclass-Logistic-Regression-from-Scratch-
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This is an NLP projects that contains code for working with a dataset as large as the Stanford Sentiment Treebank (SST) dataset, including: loading the dataset, preprocessing the data, and implementing a multi-class logistic regression model from SCRATCH for sentiment classification, after extracting bigram features.
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