riejohnson/ConText
ConText v4: Neural networks for text categorization
This is a C++ program for researchers and developers working with neural networks to automatically categorize text. It takes a collection of documents as input and classifies them into predefined categories. The typical user is a machine learning researcher or a data scientist who needs to implement and experiment with advanced text classification models, particularly those involving convolutional neural networks.
122 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or practitioner who needs a C++ implementation of advanced neural network models for text categorization and have access to a CUDA-enabled GPU.
Not ideal if you are looking for a user-friendly, out-of-the-box solution for text classification without needing to work with C++ code or manage GPU infrastructure.
Stars
122
Forks
14
Language
C++
License
GPL-3.0
Category
Last pushed
Mar 29, 2019
Commits (30d)
0
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