TV SHOW POPULARITY ANALYSIS USING DATA MINING
Reality TV is the new mantra of television producers and channel executives. It is the means to increase TRP ratings and the end is always to outdo the other channels and the “similar -but-tweaked-here-and-there” shows churned out by the competition. Most of the television shows which are being telecast nowadays are reality shows specializing in dancing, singing, and acting. We conclude to build such a system that will recognize people’s sentimental comments on TV shows.
The comments from the viewer will be extracted along with the viewer details such as gender, location, etc…The comments will be gathered from various sources and the entry will be maintained into the excel sheet. The excel file will contain peoples name, email id, age, gender, location and comment.
Based on people’s comment and sentiments, the TV Show popularity will be rated accordingly. Admin will Login into the system and can perform task such as Adding pages, maintaining entries, viewing graphs and printing the graphs. System allows admin to add pages by defining the name of the page and link of that page.
All the entries from people are maintained by the admin in an excel sheet. The entries may contain name, email id, age, gender, location, likes-dislikes and their sentimental comment. Based on the people’s comment, a graph will be generated by the system which will be categorized as age, gender, location and god or bad comments. Admin can also print the system generated graph for maintaining a hard copy records. Visitors can view TV show popularity data in a graphical representation in pie charts and bar charts. Visitor can also view the popular show rating as well as the top show in a country.