VamshiIITBHU14/NLPSwift

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

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This project helps iOS developers analyze text in their mobile applications. You can input raw text, and it outputs details like the parts of speech, identifying names of people or places, determining the core root of words (lemmas), and even detecting the dominant language. It's designed for developers building iOS apps that need to understand and process user-generated or fetched text content.

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Use this if you are an iOS developer building an application that needs to extract structured information from human language text, such as for search, content tagging, or conversational interfaces.

Not ideal if you are not an iOS developer or if your project requires advanced natural language processing capabilities beyond basic text segmentation, tagging, and entity recognition.

iOS-development mobile-app-text-analysis text-processing content-tagging conversational-AI-tools
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 7 / 25

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55

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3

Language

Swift

License

Last pushed

Jun 03, 2018

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