Sentiment Analysis is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative our neutral.

Sentiment analysis — otherwise known as opinion mining — is a much bandied about but often misunderstood term.

In essence, it is the process of determining the emotional tone behind a series of words, used to gain an understanding of the the attitudes, opinions and emotions expressed within an online mention.

Why sentiment analysis?

In today’s environment where we’re suffering from data overload (although this does not mean better or deeper insights), companies might have tons of customer feedback collected. Yet for mere humans, it’s still impossible to analyze it manually without any sort of error or bias.

Oftentimes, companies with the best intentions find themselves in an insights vacuum. You know you need insights to inform your decision making. And you know that you’re lacking them. But you don’t know how best to get them.

Sentiment analysis provides answers into what the most important issues are. Because sentiment analysis can be automated, decisions can be made based on a significant amount of data rather than plain intuition that isn’t always right.

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