Nlp-With-Ruby

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nlp-with-ruby is an Open Source & Models tool that provides a curated list of resources for natural language processing in Ruby. It offers links to libraries, information sources, and tools for computational text processing.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is nlp-with-ruby?

nlp-with-ruby is a comprehensive, curated list of resources dedicated to practical natural language processing (NLP) using the Ruby programming language. This repository serves as a valuable hub for developers and researchers interested in computational linguistics, human language technology, and related fields such as Artificial Intelligence, Machine Learning, Information Retrieval, and Text Mining. It categorizes resources into various NLP pipeline subtasks, including language identification, segmentation, lexical processing (stemming, lemmatization), syntactic processing, semantic analysis, and high-level tasks like sentiment analysis and named entity recognition. The list also covers machine learning libraries, data visualization tools, OCR, text extraction, and language-aware string manipulation, making it an essential reference for anyone working with text data in Ruby.

Best used for

Ideal for developers and data scientists who need to discover relevant libraries for natural language processing in Ruby, implement various text processing tasks, and explore machine learning applications. Especially valuable for those building AI/ML solutions or conducting research in computational linguistics using Ruby.

Common actions

find NLP resources

implement text processing

explore Ruby NLP

learn computational linguistics

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Capabilities

Key features

Curated NLP resources
Ruby libraries
Text processing tools
Machine learning libraries
Language identification
Sentiment analysis

Target Audience

developerdata scientiststudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of NLP tasks are covered by the resources in nlp-with-ruby?

The list covers a wide range of NLP tasks, including language identification, text segmentation, lexical processing (stemming, lemmatization), syntactic parsing, semantic analysis, and high-level tasks like spelling correction, machine translation, sentiment analysis, and named entity recognition.

Does nlp-with-ruby include resources for machine learning in Ruby?

Yes, the curated list features a dedicated section for Machine Learning Libraries, providing links to algorithms implemented in pure Ruby or with appropriate bindings for Ruby, useful for various AI and ML applications.

Are there any tutorials or code examples provided within nlp-with-ruby?

The repository includes sections for 'Tutorials' and 'Projects and Code Examples,' aiming to provide practical guidance and demonstrations for implementing NLP concepts using the Ruby programming language.

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