TV Show Popularity Analysis Using Twitter

Most of the television shows popularity, which are being telecasted now a days, will be rated according to the viewer’s comments and sentiments. We aim to build a system that will extract viewer sentiment comments from Twitter along with viewer details (i.e. Viewer name, gender and location) on TV shows. Visitors can view TV shows popularity data in geographical representation in pie and bar charts. Visitor can also view the popular show rating as well as the top show in a country.

Please Read below attached file carefully...Thanks

Skills: C Programming, Javascript, PHP, Python, Software Architecture

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About the Employer:
( 2 reviews ) Rawalpindi, Pakistan

Project ID: #20032774

3 freelancers are bidding on average $27 for this job


Hi! i'm Nida Jamil, a professional Data scientist ,having 4 years of experience in this field. I can visualize your data in form of graphs and i can visualize the information or graph on user friendly interface by us More

$25 USD in 5 days
(0 Reviews)

I'm pretty clear on most of the things you want done but I have a couple of question. What do you mean by you want shows to be rated by viewer comments and sentiments,do you have an algorithm in mind?

$20 USD in 1 day
(0 Reviews)

Hi, I've done a similar Project in Java, where I wrote a web crawler to scrape webpages of movie reviews and determine the sentiment. I think that I can assist you with your project.

$35 USD in 3 days
(0 Reviews)