TV SHOW POPULARITY ANALYSIS USING DATA MINING
Data mining – The current motto of television producers and channel executives is reality TV. It serves as a tool to boost TRP ratings, and the goal is always to outperform rival networks and their “similar-but-tweaked-here-and-there” productions. The majority of television programs that are broadcast these days are reality shows that focus on acting, singing, and dancing. We decide to create a system that can identify emotive TV show commentary.
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