doslim/Sentiment-Analysis-SST5
An LSTM model implemented by PyTorch to perform sentiment classification on the Stanford Sentiment Treebank (SST-5) dataset.
This project helps data scientists and NLP researchers classify the sentiment of English text. It takes raw text data, processes it, and outputs a sentiment label (e.g., positive, negative, neutral) for words and sentences. It is designed for those exploring sentiment analysis models, especially using the Stanford Sentiment Treebank (SST-5) dataset.
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Use this if you are an NLP researcher or data scientist experimenting with LSTM models for fine-grained sentiment analysis on the SST-5 dataset.
Not ideal if you need an out-of-the-box sentiment analysis tool for a production application without custom model training.
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Language
Python
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Last pushed
Sep 13, 2022
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