With the popularity of Social Media like Face Book , Blogs , Twitter , Company interactive Web sites
for interaction with Customers and Suppliers large volume of Digital Data has been collected but not
all this is put to decision making. Majority of these data is in the form of Text , Viedeo , Images etc..
They are also collectively known as unstructured data as they do not comply with standard definition of
Data base.
Sentiment Analysis is a type of Unstructured data analysis. It is a combination of Natural Language
Processing , Statistics & Machine Learning to identify and extract subjective information from text.
Some of the examples are Review of a Product , Stock market Sentiment , Digital Marketing sentiment
This information is extremly useful almost in all functional areas of managent . Text Analytics forms a
foundation for Sentiment Analytics
The information so extracted will be combined with other predictive analytic techniques such as
Regression , Decision Trees to improve the Quality of Decision Making.