Repository Index

Unsupervised text tokenizer for Neural Network-based text generation.

• neural-machine-translation
• natural-language-processing
• word-segmentation

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

Pragmatic Segmenter is a rule-based sentence boundary detection gem that works out-of-the-box across many languages.

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

• fasttext
• tensorflow
• language-identification
• text-classifier

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

• nlp
• medical
• text-mining
• clinical-data-warehouse

Rule based Answer Type classification system in Node.js

An elixir module to translate simplified Chinese to traditional Chinese, and vice versa, based on wikipedia data

Sentiment analysis based on afinn-165, emojis and some enhancements.

• sentiment-analysis
• elixir
• elixir-library
• hex

A Go package for n-gram based text categorization, with support for utf-8 and raw text

A fast and accurate rule-based sentence segmentation tool for Ruby.

Framework for information extraction from tables

• table-information-extraction
• information-extraction
• literature
• text-mining

A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)

• tokenizer
• segmentation
• golang