TV Show Popularity Analysis Using Data Mining

TV Show Popularity Analysis Using Data Mining

Abstract:

Producers and channel executives are driven by reality TV’s popularity. These shows boost TRP (Television Rating Point) ratings and keep channels competing. Dancing, singing, and acting reality shows dominate television. We want to create a system that analyzes TV show sentiments. We’ll collect viewer comments, gender, and location. Names, email addresses, age, gender, location, and comments will be stored in Excel. The comments will determine TV show popularity.

Introduction:

Reality Producers and executives depend on TV show success. These shows evolve to outperform their competitors and grab viewers’ attention. Our project analyzes comments to accurately assess TV show sentiments. Understanding viewers’ perspectives helps us evaluate TV shows’ popularity and make programming decisions.

Objectives:

This project will use data mining to analyze viewer comments and determine TV show popularity. We want to understand audience preferences by analyzing comments and demographic data like gender and location. Administrators can manage entries, create graphs, and print them for record-keeping. Visitors can view pie and bar charts of TV show popularity. They’ll also see a country’s top shows.

Project Details:

Data mining and sentiment analysis drive TV Show Popularity Analysis. It involves storing viewer comments in an Excel sheet from various sources. Viewers’ names, emails, age, gender, location, and comments will be collected. Administrators can add pages, manage entries, view graphs, and print them.

Sentiment analysis will determine TV show popularity. The system also generates graphs by age, gender, location, and sentiment. This graphic will help administrators make data-driven decisions by showing audience preferences. Administrators can print graphs for offline storage.

The system will display TV show popularity in pie and bar charts. The top-rated shows in a country will be shown to them.

Conclusion:

The TV Show Popularity Analysis project uses data mining to assess viewer sentiment and TV show popularity. The system learns audience preferences from comments and demographics. Graphs and graphical representations improve administrators’ decision-making. Graphical representations of TV show popularity help system users keep track of their country’s most popular shows. This project helps stakeholders make data-driven decisions and understand TV show viewership.

Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.