airalcorn2/Recurrent-Convolutional-Neural-Network-Text-Classifier
My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.
This tool helps you automatically sort and categorize written content, like customer feedback, news articles, or social media posts. You provide it with a collection of text documents and examples of how they should be categorized, and it learns to classify new, unseen text into those same categories. It's designed for anyone who needs to quickly make sense of large volumes of text data without reading every single piece.
184 stars. No commits in the last 6 months.
Use this if you need to automatically sort large amounts of text into predefined categories, such as tagging emails, moderating comments, or routing customer inquiries.
Not ideal if you need to understand the nuances of highly complex or jargon-filled documents, or if you don't have existing examples of categorized text to learn from.
Stars
184
Forks
65
Language
Python
License
MIT
Last pushed
May 27, 2018
Commits (30d)
0
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