TV Show Popularity Analysis Using Twitter

$10-30 USD

Closed

Posted

almost 5 years ago

$10-30 USD

Paid on delivery

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

Software Architecture

Project ID: 20032774

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3 proposals

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Active 5 yrs ago

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3 freelancers are bidding on average $27 USD for this job

@Nida900

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 using Tkinter library or html/css. Why choose me: • Quality work • Client satisfaction • Efficient Communication Requirements: • Dataset in any format (e.g, .csv, xls etc) • Demands in details . Thanks!

$25 USD in 5 days

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@evanmckoy41

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

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@pseguin2011

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