seyedsaeidmasoumzadeh/Binary-Text-Classification-Doc2vec-SVM
A Python implementation of a binary text classifier using Doc2Vec and SVM
This project helps you automatically sort written content, like articles or customer feedback, into one of two predefined categories. You provide a collection of text examples that belong to each category, and the system learns to classify new, unseen text. It's designed for anyone needing to efficiently categorize large volumes of text without manual review.
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Use this if you need to automatically sort documents, emails, or other text into two distinct groups.
Not ideal if you need to classify text into more than two categories or if your text data is very short and unstructured.
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Python
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Last pushed
Dec 20, 2017
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