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Understanding Sentiment Analysis with Hadoop

By Desk Editor

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

Let’s understand sentiment analysis now …

Let us build one such solution now…

Let’s see a sample use case …



And, finally one good FAQ document…


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


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Comments

  1. JonathanSeptember 21, 2012 at 10:22 AM

    I like the article. I used to follow the first approach during several years, but recently I changed my mind and think that “Proposal” approach is a way to go.

    Sample Research

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