sumehta/FBMA
Code for the WWW '19 paper "Event Detection using Hierarchical Multi-Aspect Attention"
This project helps researchers and data scientists classify long text documents, especially when you have limited training data. You provide your tokenized and lemmatized text documents, each with a class label, and the tool outputs a trained text classification model and performance metrics like precision and recall. This is useful for anyone needing to categorize large volumes of text efficiently.
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Use this if you need to classify long text documents into categories, particularly in situations where you have a limited amount of labeled data for training.
Not ideal if you are looking for a pre-trained, ready-to-use model or if your text classification needs are simple enough for off-the-shelf solutions like fine-tuning large language models.
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10
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3
Language
Python
License
MIT
Category
Last pushed
Oct 12, 2020
Commits (30d)
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