Understanding Sentiment Analysis with Hadoop

Sentiment Analysis is widely quoted as an ideal use case for Hadoop ecosystem usage. While certain research has gone to link machine analysis in conjunction with cognition and emotion research, we will limit our post to machine analysis. For those interested, basic emotions like anger, disgust, fear, happiness, sadness, and surprise are adequately explained in Ekman’spublished text on emotions.

First a quick intro from the recent Splunk .conf2012

Social media & sentiment analysis splunk conf2012 from Michael Wilde

Let’s understand sentiment analysis now …

Social media mining and multimedia analysis research and applications from Yiannis Kompatsiaris

Let us build one such solution now…

Realtime Sentiment Analysis Application Using Hadoop and HBase from Hadoop_Summit

Let’s see a sample use case …

Political Opinion Mining, Sentiment Analysis and Technology from zdatainc

And, finally one good FAQ document…

Building a Sentiment Analytics Solution powered by Machine Learning- Webinar QA from Impetus Technologies

Please note this post is not endorsing any product or company – just passing on common information on the topic for your awareness.