linkedin/detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
DeText helps machine learning engineers and data scientists build or improve search, recommendation, and text classification systems. It takes raw text data and other relevant features as input, and outputs highly relevant rankings or classifications. This framework is ideal for those who need to understand user intent from text to power better user experiences.
1,266 stars. No commits in the last 6 months.
Use this if you are developing search engines or recommender systems and need to improve result relevance or classify text efficiently using deep learning.
Not ideal if you are looking for a pre-trained model ready for immediate use without customization or if you primarily work with numerical or image data.
Stars
1,266
Forks
135
Language
Python
License
BSD-2-Clause
Last pushed
Mar 02, 2023
Commits (30d)
0
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