oxford-cs-deepnlp-2017/practical-2
Oxford Deep NLP 2017 course - Practical 2: Text Classification
This project helps you automatically categorize text content, like TED Talk transcripts, into specific topics such as 'Technology,' 'Entertainment,' or 'Design.' You provide the raw text, and it determines which topic(s) the content most likely belongs to, or if it fits none of them. This is useful for content curators, researchers analyzing text corpora, or anyone needing to sort large volumes of documents by theme.
114 stars. No commits in the last 6 months.
Use this if you need to build a system that can automatically assign one or more predefined topic labels to written content.
Not ideal if your goal is to extract entities, summarize documents, or perform sentiment analysis, as this project focuses specifically on content categorization.
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Mar 28, 2021
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