goamegah/pytorch-stc
PyTorch implementation of STC - Self-training approach for short text clustering
This project helps organize collections of short texts, like social media posts, product reviews, or search queries, into meaningful groups without needing predefined categories. You provide the raw text data, and it outputs a categorization of those texts into clusters, making it easier to identify themes or topics. This is ideal for researchers, marketers, or anyone analyzing large volumes of brief textual content.
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Use this if you have many short text snippets and need to automatically discover underlying themes or group similar items together without manual labeling.
Not ideal if you need to classify long documents, already have predefined categories you want to sort texts into, or require human-interpretable labels for each cluster.
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Language
Python
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MIT
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Last pushed
May 27, 2024
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