qiangsiwei/text_classification
keras implementation of text classification algorithms
This project offers a collection of algorithms for automatically categorizing text. You input raw text data, and it outputs labels or categories for each piece of text. This is useful for data scientists, machine learning engineers, and researchers working on natural language processing tasks who need to classify documents or short texts.
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Use this if you need to build a system that assigns predefined labels to text, like spam detection, sentiment analysis, or topic categorization.
Not ideal if your text data is very long, as sentences are truncated, or if you need to handle words not seen during training.
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Language
Python
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Last pushed
Feb 08, 2018
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