dheeraj7596/SCDV
Text classification with Sparse Composite Document Vectors.
This project helps you automatically categorize text documents or find relevant information within large text collections. It takes raw text inputs and processes them into numerical representations, which it then uses to classify the text into predefined categories or to rank documents by relevance to a search query. Anyone working with substantial amounts of text data, like a data analyst, researcher, or information specialist, would find this useful.
No commits in the last 6 months.
Use this if you need an efficient way to turn unstructured text into structured data for classification or to improve the accuracy of information retrieval systems.
Not ideal if you're looking for a user-friendly, out-of-the-box solution with a graphical interface, as it requires comfort with command-line operations and Python scripting.
Stars
61
Forks
19
Language
Python
License
MIT
Last pushed
Jun 29, 2020
Commits (30d)
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