Text Analysis
Showing 8 of 116 projects
A Go library for sentiment analysis using the SentiWordNet lexicon to calculate positive, negative, and objective scores for words.
A textlint rule that checks English sentences for style and grammar issues using the rousseau library.
A topic modeling project using Latent Dirichlet Allocation (LDA) to analyze and categorize Sarah Palin's released emails.
Generate word embedding vectors from text files using the Swivel algorithm on IBM Watson Machine Learning.
An Ember CLI addon that integrates alex.js to lint templates for insensitive or unequal phrasing.
A Go microservice that provides sentiment analysis for text using the VADER algorithm.
An R package implementing an extended TPME model for analyzing text-valued communication networks with topic clustering and latent space modeling.
A Go library for programmatically analyzing entities and their sentiment in non-fictional texts using dependency parsing.
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