Sentiment Analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, in order to determine whether the author's attitude towards a particular topic, product, etc. is positive, negative, or neutral.

Sentiment Analysis is crucial for businesses in the modern world with social media playing a major role in influencing the customers.

For example, suppose a customer tweets on Twitter: 'I bought this company's chair and it broke in a month'. If you were selling this chair, and did not analyze this negative feedback, it would have caused chair sales to plummet. If you were doing sentiment analysis, this would have triggered a negative sentiment feedback from the Twitter feed.

Automated feedback analysis would allow you to take an early action to remedy the issue so that your product sales is not impacted. We also offer Sentiment Analysis API, which can be utilized in the broader AI (Artifical Intelligence) and ML (Machine Learning) solutions.