numbworks/NW.NGramTextClassification

NW.NGramTextClassification is a library to perform text classification tasks on the text snippets you provide. Text Classification is a machine learning technique that calculates the similarity between the string of text you need to categorize and a collection of already categorized strings you provide to the library.

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Experimental

This tool helps you automatically sort short pieces of text, like social media comments or customer feedback, into predefined categories. You provide examples of text that belong to certain categories, and then the tool can tell you which category new, uncategorized text snippets fit into. It's designed for anyone who needs to quickly make sense of many small text entries, such as a content moderator, a marketing analyst, or a customer support manager.

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Use this if you have many short text snippets that you need to consistently assign to a set of categories, saving you manual effort and ensuring uniformity.

Not ideal if you're dealing with very long documents, need to understand the sentiment or complex meaning of text, or require human-like interpretive nuance.

text-categorization content-moderation feedback-analysis information-organization data-tagging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 9 / 25

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Forks

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Language

C#

License

MIT

Last pushed

Feb 14, 2024

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