The problem with automated sentiment analysis

Sentiment analysis is a broad area of natural language processing, computational linguistics and text mining and it aims to determine the attitude of a speaker or a writer with respect to some topic.

Companies are using sentiment analysis to monitor the social web to understand and react to what their customers are saying about their brand. This post looks at the failings of social media monitoring tools and why sentiment analysis cannot be trusted to accurately reflect and report on the sentiment of conversations online. “This real failing of automated sentiment analysis can cause real problems for brands, especially if they are basing any internal workflow or processes on the basis of your social media monitoring.”

About Vivek Bhaskaran

Vivek Bhaskaran is the President and CEO of Survey Analytics.


  1. Thanks for passing this along. Its nice to see a study on the topic. I’d like to see some standard measurement of how machine analysis is finding the meaning in the usual open end comment. That way we could track the accuracy of improvements and see if its now ‘good enough’.

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