FernandoLpz/Text-Classification-LSTMs-PyTorch
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
This project offers a baseline model for classifying short text, like tweets, into predefined categories. You input raw text data, and it outputs a classification (e.g., 'real news' or 'fake news'). It's ideal for data scientists, machine learning engineers, or researchers who need a foundational text classification system using PyTorch.
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Use this if you are a developer looking for an example of a simple LSTM-based text classification model in PyTorch for learning or as a starting point.
Not ideal if you need a production-ready, highly accurate, or state-of-the-art text classification system, as it's a baseline and might require significant enhancements for complex real-world use cases.
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Mar 25, 2023
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