salehsargolzaee/LSTM-for-Sentiment-Analysis
In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.
This project helps e-commerce analysts and product managers understand customer opinions from product reviews. It takes raw text reviews and product ratings as input and processes them to identify the underlying sentiment—positive, negative, or neutral. The output provides a clear indication of customer feelings, which can inform product improvements or marketing strategies.
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Use this if you need to automatically categorize customer feedback, social media comments, or product reviews by sentiment to gauge public perception or product satisfaction.
Not ideal if you need a plug-and-play solution that comes with a pre-trained model ready for immediate use, as you'll need to train it yourself or request the model weights.
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May 01, 2022
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