There are lots of companies producing various products ranging from expensive to free products. There is no software product without any bug irrespective of their cost. The problem with this situation is that when people purchase a software product by paying money they are more concerned about its performance. People report to the companies if the product they purchased does not work as expected. It is not the same in the case of free products. People tend to switch to some other free product produced by different company which does the same job. The notion of this project is to solve this problem. Under such a circumstance, people may not send a report to the company but people talk about that in the social networks. In this project, we are going to make use of this kind of posts or tweets to help the companies by informing them about the fault in their free products so that their reputation will never go down. So the objective of this project is to stream the real-time Twitter data, filter the data and analyze the data so that it can be reported to the companies if their free products does not work as expected.
Selvan, Lokmanyathilak Govindan Sankar, "Opinion Mining on Twitter Data Stream to Give Companies an Up-to-Date Feedback on Their Free Products" (2014). Master's Projects. 416.