Abstract:
In this current world where everyday people are generating a large amount of data and
different business organizations are becoming more and more dependent on it, therefore it
has become very important to come out of the traditional methods of data analysis and
focusing on the techniques that can prepare much more accurate and valid result to make
business decision making more easy and simple. This thesis proposes a technique to collect
and analyze twitter posts based on different keyword based product searching to generate
products market statistical report. Using this program it can be determined that if any
product is getting popularity or losing its market. Few types of results were generated in
this project. Each of them have their own type of importance. Overall this type of
application can be a trusted support for business analyst or decision makers.
