leohsuofnthu/Pytorch-TextCNN
Pytorch implementation of the paper Convolutional Neural Networks for Sentence Classification
This tool helps you quickly analyze text to determine its underlying sentiment, such as whether a review is positive or negative. You provide a CSV file with a column of text and another with corresponding labels (like 'positive' or 'negative'). The tool then outputs plots showing training progress and saves the best model parameters for future use, allowing market researchers or customer service managers to understand public opinion or customer feedback.
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Use this if you need to rapidly build a system to classify short texts into predefined categories, such as sentiment analysis on social media comments or product reviews.
Not ideal if you require sophisticated natural language understanding beyond basic text classification or need to handle very long, complex documents.
Stars
22
Forks
6
Language
Python
License
—
Last pushed
Jan 21, 2020
Commits (30d)
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