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

• UpdatedJun 12, 2023
• Python

😡😇 Stanford Sentiment Treebank loader in Python

• UpdatedFeb 18, 2020
• Python

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

• UpdatedJan 25, 2019
• Python

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.

• UpdatedOct 7, 2018
• Jupyter Notebook

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

• UpdatedApr 1, 2018

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

• UpdatedSep 13, 2022
• Python

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

• UpdatedApr 28, 2022
• Python

Sentiment Classification

• UpdatedMay 9, 2019
• Python

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

• UpdatedApr 24, 2020
• Python

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

• UpdatedMay 14, 2019
• Python

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

• UpdatedMay 29, 2021
• Python

🔍 Analyze tweet sentiments using BERT for accurate classification into negative, neutral, or positive categories with a comprehensive and modular approach.

• UpdatedNov 6, 2025
• Python