vgupta123/SCDV-MS
Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
This project helps classify text documents more accurately for tasks like organizing news articles or filtering information. It takes raw text documents and outputs a categorized document, improving on existing methods by understanding words with multiple meanings. Information retrieval specialists, data scientists, or anyone working with large volumes of text data would find this useful.
No commits in the last 6 months.
Use this if you need to classify documents into specific categories and want to improve the accuracy of your text classification systems, especially when dealing with ambiguous language.
Not ideal if you are looking for a simple, out-of-the-box solution without any technical setup, as this involves running scripts and understanding specific parameters.
Stars
15
Forks
3
Language
Python
License
—
Last pushed
Apr 01, 2021
Commits (30d)
0
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