An NLP sentiment detection library

vaextractor uses rule-based NLP strategy to extract Snellen visual acuities from unstructured ophthalmology clinical notes.

Built-in NLP for Stealth bots via Microsoft's Language Understanding (LUIS).

this repo contains implementions of some NLP util functions, such as word error rate and perplexity.

Default corpus for Ruby client for Poliqarp (NLP corpus server)

Parses a calendar event for date, time, and description e.g. hall 2 friday at 11am #=> {:title=>"hall 2", :date=>2017-05-12 11:...}

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.

tcf2nif converts NLP data from the TCF format (used by WebLicht) to the RDF-based NIF format.

The powerful Natural Language Processing APIs let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text.

A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.

Natural Language Framework is intended to be a collection of bindings for Ruby and provide access to general purpose NLP components. OpenNLP, GATE components, standalone tools (TreeTagger, Stanford Parser, etc.) will be accessible through NLFW.

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

Default corpus for Ruby client for Poliqarp (NLP corpus server)

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 consolidate distributed processes and pipelines. Also helpful for bioinformatics and NLP applications to summarize occurences of frequency.

Classify Jekyll post content automatically using NLP

This gem contains a grouping of ruby tools related to Artificial Intelligence and Automatic Natural Language Processing

This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program

This Ruby gem leverages Machine Learning(ML) techniques to make predictions(forecasts) and classifications in various applications. It provides capabilities such as predicting next month's billing, forecasting upcoming sales orders, identifying patient's potential findings(like Diabetes), determining user approval status, classifying text, generating similarity scores, and making recommendations. It uses Python3 under the hood, powered by popular machine learning techniques including NLP(Natural Language Processing), Decision Tree, K-Nearest Neighbors and Logistic Regression, Random Forest and Linear Regression algorithms.

This is a gem for making it easy to call zemberek2 2.1.1 NLP library functions from JRuby.

Built-in NLP for Stealth bots via AWS Comprehend.