SuyashLakhotia/TextCategorization
:zap: Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
This helps researchers and students classify text documents into predefined categories using various deep learning models. It takes raw text data as input and outputs classifications, such as sentiment (positive/negative) for movie reviews, topic for news articles, or categories for financial reports. The primary users are researchers or students working on text categorization tasks and exploring different deep learning architectures for classification.
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Use this if you are a researcher or student experimenting with different text classification models, including traditional baselines and deep learning approaches like CNNs and Graph CNNs, on benchmark datasets.
Not ideal if you need a production-ready system for real-time text classification or if you are looking for an out-of-the-box solution without deep technical engagement.
Stars
29
Forks
14
Language
Python
License
MIT
Last pushed
Mar 24, 2018
Commits (30d)
0
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