zqhZY/semanaly
semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.
This project helps you compare how similar different pieces of text are, even if they don't use the exact same words. You provide a collection of text documents or individual sentences, and it helps you find out which ones are semantically close to each other. This is useful for anyone working with large volumes of text who needs to understand relationships between documents or classify them based on meaning.
155 stars. No commits in the last 6 months.
Use this if you need to determine the semantic similarity between sentences or documents, going beyond simple keyword matching.
Not ideal if you are looking for a plug-and-play solution without any programming or data preparation steps.
Stars
155
Forks
57
Language
Python
License
—
Category
Last pushed
Nov 19, 2017
Commits (30d)
0
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