With a multitude of information shared on social media sites like Twitter, Facebook etc. and discussions of the Company's offerings on blogs, forums, and posts; companies want to mine every bit of information available to analyze consumer feelings about their offerings. Companies from different industries are trying to use customer sentiment information to gain a competitive advantage in the business world. Below are some common industries that use sentiment analysis. Examples of companies within the domain are also mentioned to know the current users of sentiment analysis. Healthcare: Sentiment analysis has large-scale applications in the healthcare industry. Many patients use the Internet to post their experiences at provider facilities. This unbiased feedback from patients is critical for healthcare practices to improve the quality of care. It is not possible for the patient to continue to return to the facility to report post-intervention feedback. Mining patient sentiments from unstructured data found in blogs, Twitter and Facebook posts helps hospitals realize important performance factors such as patient satisfaction, staff friendliness and procedural efficiency. Patients also share information regarding their payment experience on the Internet. Tweets, posts about insurance benefits, and timely service are critical information for payers to improve existing services. 94% of patients believe that the hospital brand is important in making a selection. By understanding patients' feelings and taking appropriate actions to translate negative feedback into better care, you can help a hospital improve its brand image. WebMD is a health information service that regularly provides health-related advice and tips to its users. WebMD is partnering with T...... middle of paper ......y, Friendliness of staff, Quality of food etc. [5]Starbucks uses an NLP platform to track its web mentions to monitor its brand presence and popularity of beverages. There are many other industries where sentiment analysis has huge potential business value. IBM developed an analysis in which it used Twitter data to understand what the world thinks about the baseball World Series. These results can't predict whether the team will win or not, but they can open doors to new ways of thinking about fan interest, players to sign, and other preferences. Conclusion Personalization and consumer feedback have reached a whole new level with companies using sentiment analysis. Now that we've talked about all these companies that use sentiment analysis, start tweeting, Facebooking, and blogging as hard as you can. Your post could be the turning point in the industry.