hpanwar08/sentence-classification-pytorch
Sentiment analysis with variable length sequences in pytorch
This project helps machine learning engineers or data scientists classify the sentiment of social media posts, like tweets. It takes raw text data, processes it, and outputs a classification (e.g., positive, negative, neutral sentiment) for each text. The user would typically be a practitioner building or experimenting with natural language processing models.
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Use this if you are a machine learning engineer or data scientist looking for a basic, clear example of how to implement sentiment analysis for variable-length text sequences using PyTorch.
Not ideal if you are looking for a pre-trained model ready for immediate use in a production application, or if you need a solution beyond a foundational implementation.
Stars
34
Forks
8
Language
Jupyter Notebook
License
MIT
Last pushed
Jul 13, 2019
Commits (30d)
0
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