muggin/string-kernels
Implementation of the "Text Classification using String Kernels" publication by Lodhi et al. (KTH DD2434 Project)
This project helps machine learning researchers and students experiment with advanced text classification. It takes raw text documents, like news articles, and processes them to categorize them into predefined topics or categories. It is designed for those exploring sophisticated text classification models, specifically string kernels, for academic or research purposes.
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Use this if you are an academic researcher or student studying advanced machine learning, particularly in the field of natural language processing, and want to implement or understand string kernel methods for text classification.
Not ideal if you need a production-ready system for classifying large volumes of text quickly or a general-purpose text classification tool without deep engagement with the underlying algorithmic specifics.
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Last pushed
Oct 25, 2017
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