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A Lita handler for a question answering (QA) system. Allows you to use CRUD operations and simple NLP. More functionality is coming soon...
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Data loaders and abstractions for text and NLP
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0.0
Built-in NLP for Stealth bots via Microsoft's Language Understanding (LUIS).
2020
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open-tamil project provides a ruby gem 'tamil' for working with Tamil language text and NLP
2020
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Ruby implementation of a sliding window algorithm, which is useful for NLP
applications where scanning text in fixed-sized windows which shrink
smaller when no matches are made is useful.
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NLP related tools and classes
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MaluubaNapi allows you to easily consume Maluuba's NLP API
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API Client of docomo NLPManagementAPI for ruby.
2020
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this repo contains implementions of some NLP util functions, such as word error rate and perplexity.
2020
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DB Bot uses Natural Language Processing (NLP) to construct DB queries. What that means is you can interact with your database like you're talking to a human
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Default corpus for Ruby client for Poliqarp (NLP corpus server)
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A Ruby Gem used for consolidating files containing lists with a unique identifier (such as genetic sequence) and their associated value, count, or sum (in asc or desc order) into a single file. We've used it for sequencing and genomic searches for assay development in molecular diagnostics to co...
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A Rails engine gem for deriving discrete data points from narrative text via natural language processing (NLP). The gem includes a user interface to present the abstracted data points for confirmation/revision by curator.
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This gem contains a grouping of ruby tools related to Artificial Intelligence
and Automatic Natural Language Processing
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Built-in NLP for Xip Kit via Microsoft's Language Understanding (LUIS).
2020
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Simple Library for NLP over bodies of text
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A Japanese text normalization library follows the conventions of neologd with some performance optimizations. It is designed to preprocess Japanese text before applying NLP techniques.
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A backpack full of useful toys
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The Ruby library, Documentrix, is designed to provide a way to build and
query vector databases for applications in natural language processing
(NLP) and large language models (LLMs). It allows users to store and
retrieve dense vector embeddings for text strings.
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Polaris provides methods for polarity analysis (semantic orientations).
2020
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