vliu15/elmo-kmeans
GPU-accelerated Topic Analysis pipeline
This tool helps researchers, analysts, or marketers automatically categorize large collections of text, such as customer feedback, research papers, or social media posts, into distinct topics. You provide a plain text file with one sentence or transcription per line, and it outputs organized clusters of these texts based on their core themes. This is designed for anyone needing to quickly understand the main subjects within a large body of unstructured text.
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Use this if you need to rapidly identify and group similar topics within a large collection of sentences or short text snippets without manually reading through everything.
Not ideal if you need fine-grained sentiment analysis, named entity recognition, or highly specific linguistic feature extraction rather than broad topic categorization.
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8
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2
Language
Python
License
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Category
Last pushed
Dec 20, 2018
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