Sentiment Analysis

Combines Apache OpenNLP and Apache Tika and provides facilities for automatically deriving sentiment from text.

Java port of Python NLTK Vader Sentiment Analyzer. 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.

Sentiment analysis framework developed by CERTH.

Sentiment analysis, based on the Sentimental node.js library. Approach based on the AFINN word lists.

This is a simple library to analyze tweets using Twitter4j. Also uses CoreNLP for sentiment analysis.

KSQL UDF that uses the Google Cloud Natural Language API to perform sentiment analysis on streams of text

KSQL UDF that uses the Google Cloud Natural Language API to perform entity-level sentiment analysis on streams of text

Sentiment Analysis

Resources for Sentiment Analysis