Hironsan/awesome-text-classification
Text classification meets word embeddings.
This is a curated collection of resources for text classification, a process that organizes text into categories. It brings together academic papers, practical implementations, and datasets. Anyone interested in applying or understanding how to automatically categorize written content, such as identifying sentiment in customer reviews or sorting news articles by topic, would find this useful.
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Use this if you are a researcher, student, or data scientist looking for a comprehensive overview of text classification models and related resources.
Not ideal if you need an out-of-the-box tool or library for direct implementation without exploring academic papers or different approaches.
Stars
31
Forks
10
Language
Python
License
MIT
Last pushed
May 08, 2018
Commits (30d)
0
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