AlexGidiotis/Document-Classifier-LSTM
A bidirectional LSTM with attention for multiclass/multilabel text classification.
This project helps classify short texts, like paper abstracts, by assigning them to one or more predefined categories or tags. You provide a collection of text documents, and it outputs predictions about what each document is about, along with the trained model. Researchers, librarians, or information managers dealing with large text archives would find this useful for organizing and retrieving information.
173 stars. No commits in the last 6 months.
Use this if you need to automatically categorize a large collection of short documents into multiple topics or labels.
Not ideal if your documents are very long, or if you don't have existing labeled data to train the classifier.
Stars
173
Forks
50
Language
Python
License
MIT
Category
Last pushed
Aug 30, 2024
Commits (30d)
0
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