Search results
95 packages found
Machine Learning for Textual Data with JavaScript
Maintenance: None. Quality: 41%. Popularity: 0%.
Affective dictionary of 25000 words in Spanish formatted in JSON
- sentiment
- Spanish
- Español
- sentimiento
- agrado
- activacion
- imaginabilidad
- anew
- sdal
- word
- list
- analysis
- opinion
- mining
- View more
Maintenance: None. Quality: 42%. Popularity: 0%.
Simple function for analyzing sentiment of a string or array of strings.
Maintenance: None. Quality: 41%. Popularity: 0%.
Node-RED node to access alchemy API for sentiment analsyis of text
Maintenance: None. Quality: 41%. Popularity: 0%.
A quick fix sentiment analyzer written in Javascript. Uses AFINN word list for computing sentiment score.
Maintenance: None. Quality: 41%. Popularity: 0%.
Merge multiple sentiment libraries for better sentiment analysis
Maintenance: None. Quality: 39%. Popularity: 0%.
A powerful JavaScript library for text analysis
Maintenance: None. Quality: 39%. Popularity: None.
NodeJS implementation of the state of the art Vader sentiment analyzer which is based on the updated valence lexicons. The main motivation is to build a much more accurate sentiment analyzer than sentiment and sentimental package. Handles emoticons, negat
Maintenance: None. Quality: 39%. Popularity: 0%.
This is a NodeJS Client Library for the sentiment140 Natural Language Processing Service API
Maintenance: None. Quality: 39%. Popularity: 0%.
SentiWordNet based sentiment analysis for node.js focusing on accuracy and POS analysis.
Maintenance: None. Quality: 31%. Popularity: 2%.
Classified facial expression emoticons database with polarity, used for the emotional sentiment analysis package
Maintenance: None. Quality: 34%. Popularity: 2%.
Machine Learning for Textual Data with JavaScript
Maintenance: None. Quality: 31%. Popularity: 0%.
A sentiment node for XIBLE.
Maintenance: None. Quality: 30%. Popularity: 0%.
Subjectivtiy and sentiment/polarity analysis library for Node.js
Maintenance: None. Quality: 21%. Popularity: 3%.
Inspired by the great @BofA_Help bot, a demonstration of how to use Twitter's Streaming API with sentiment analysis to get yourself in trouble
Maintenance: None. Quality: 9%. Popularity: 0%.