Sentiment analysis is a potent tool that empowers businesses to comprehend all about the pool of unstructured data and emotions and psychology behind any data point.Identifying positive or negative emotions in the text falls under the basic function of sentiment analysis.

Structured data is most commonly classified as quantitative data, and it's the form of data with which most of us are familiar. It is the data in relational databases and spreadsheets that fits nicely into specified fields and columns.

The Internet already takes the lead as the prime source of information for most data workers. With its ability to sort data and absorb large numbers of data points,the Internet is augmenting to give people personal and particular information. However, most of this data comes in large volumes at high velocity from multiple venues and in various formats. Moreover, this vast amount of valuable data is mostly not in structured forms, making it easy for you to drown under the hundreds, thousands, and even millions of search results for even the simplest of questions.