bicepjai/Deep-Survey-Text-Classification
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
This project offers a comprehensive overview and practical implementations of various deep learning models designed for text classification tasks. It takes raw text documents as input and categorizes them into predefined labels, helping you organize and understand large volumes of text data. This is intended for machine learning engineers or researchers who need to compare and apply different neural network architectures for text classification.
193 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner looking to understand and implement a wide range of deep learning models (specifically CNN and RNN-based) for classifying text.
Not ideal if you are a business user or an analyst simply looking for an out-of-the-box text classification tool without needing to delve into model implementation details.
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MIT
Last pushed
Nov 11, 2017
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