Analyzing Textual Data

In the age of information, data is produced at incredible speeds and volumes. The data produced is not only structured or tabular types, it can also be in a variety of unstructured types such as textual data, image or graphic data, speech data, and video. Text is a very common and rich type of data. Articles, blogs, tutorials, social media posts, and website content all produce unstructured textual data. Thousands of emails, messages, comments, and tweets are sent by people every minute. Such a large amount of text data needs to be mined. Text analytics offers lots of opportunities for business people; for instance, Amazon can interpret customer feedback on a particular product, news analysts can analyze news trends and the latest issues on Twitter, and Netflix can also interpret reviews of each movie and web series. Business analysts can interpret customer...