Java wrapper around several sentiment analysis tools, that was created for MixedEmotions project, created by BUT.
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Updated
Mar 2, 2017 - Python
Java wrapper around several sentiment analysis tools, that was created for MixedEmotions project, created by BUT.
This project is about how we analyze sentiment of the written text/sentence
Sentiment analysis for topics that matter.
Sentiment analysis using VADER in Scala
An AWS lambda microservice that accepts a sentence as input, and returns a sentiment score.
A work in process message sentiment analyser using the VADER NTLK Sentiment Analysis tool.
Sentiment analysis of the Twitter activity of various news outlets using VADER (Valence Aware Dictionary for sEntiment Reasoning).
Sentiment Analysis using nltk vader package - Rule based classifier
A sentiment Analysis of News Channels Using Twitter
Sentiment analysis on VAR (video assistant referee) sytem in football games during the 2018 FIFA World Cup Russia
Mine tweets and conduct sentiment analysis using VADER model
Sentiment Analysis of Amazon Book Reviews
Sentiment Analysis using VADER. Implemented in AngularJS (1.6)
Graphical User Interface (GUI) for Sentiment Analysis using VADER (Valence Aware Dictionary and sEntiment Reasoner)
Sentiment Analysis Using VADER (Valence Aware Dictionary and sEntiment Reasoner) and C#
Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
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