This is the implementation of paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim

Implementation of Recursive Neural Tensor Network as described in https://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf

Cleaned, Ready-to-use Sentence Level Labeled Stanford Sentiment Treebank Dataset

Sentiment Classification

Bi-LSTM with Attention performs sentence-level sentiment classification on Stanford Sentiment Treebank dataset .

An LSTM model implemented by PyTorch to perform sentiment classification on the Stanford Sentiment Treebank (SST-5) dataset.

Refined dataset for Stanford Sentiment Treebank used in Yoon Kim (2014).

Neural sentiment classification of text using the Stanford Sentiment Treebank (SST-2) movie reviews dataset, logistic regression, naive bayes, continuous bag of words, and multiple CNN variants.

word2vec implementation (for skip-gram and cbow) and simple application of word2vec in sentiment analysis

😡😇 Stanford Sentiment Treebank loader in Python

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.