Sometimes we fail to understand other’s emotion. So how it will be when machines try to understand ours? When writing programs we care about the syntax and structures but these concerns are not there in communication between people. To process our language machines have to understand not only what we say, but what we mean. Natural language processing is a fascinating subject to explore. But what makes it complicated?
Human communication isn’t just a group of words. It’s a mix of sentiments which needed to be analyzed to understand what we really mean.
Why should I care
The contemporary business world is a place where huge success and failure sit side by side. In traditional market research, business spends a huge amount to analyze customer’s opinions through continuous surveys and consultants. But nowadays social media empowers business a lot. Most the existing and potential customers are generating a treasure trove of data through Twitter, Facebook, LinkedIn and so on. Sentiment analysis is a powerful tool for mining the gold beneath the social media landslide.
The goal of sentiment analysis is to identify the opinions expressed in a text.
It seems easy, right?