lizhaoliu-Lec/CNLE
Official code release for CNLE: Co-attention network with label embedding for text classification. Neurocomputing 2022
This project helps researchers and data scientists automatically categorize text documents into predefined topics or labels. You provide text content and a list of all possible categories, and it outputs the most relevant categories for that text. This is ideal for those working with large volumes of text who need efficient and accurate classification.
No commits in the last 6 months.
Use this if you need to automatically assign multiple relevant categories to individual text documents from a known list of possibilities.
Not ideal if you need to classify images, audio, or other non-textual data, or if you need to discover new, un-predefined categories within your text.
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20
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5
Language
Python
License
BSD-3-Clause
Category
Last pushed
Oct 20, 2023
Commits (30d)
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