Detecting mood swings on Twitter

$250-750 USD

Cancelled

Posted

about 12 years ago

$250-750 USD

Paid on delivery

Hello all, I am just wondering something and you guys just need to tell me if it is possible. If it is, there is a job :-) Is it possible to detect(with algorithm) in which mood people when they talk about a subject on Twitter/Facebook for example a football match in the Champions League. If Barcelona scores is it possible a "crawler" detects that Barcelona fans are happier than other people on Twitter/Facebook because they Tweet something happy like "YEAAAHHHH 1-0". So you can put it on a scale from 0(not happy at all) till 10(very happy!). If I am wrong or wanna suggest me something, I'm happy to hear. Tell me your idea in PM.

Project ID: 1446862

About the project

5 proposals

Remote project

Active 12 yrs ago

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5 freelancers are bidding on average $360 USD for this job

@kevinxiaozi

Dear sir, I am very interested in your project. Based on your project requirement, I think it is very hard to detect the mood. Because there are many languages in the world, it is tough to collect all mood-related words in them. So to analyze the mood based on the mood keywords are difficult. I have a new idea and send message to you. Wait for your response Thank you BR

$250 USD in 20 days

4.9

(14 reviews)

4.6

@Hangleton

Dear Sir, there are few projects (rather from an academic and research background) which try to analyze snippets of human-spoken languages to determine whether the subject is positive or negative. Think about how one could use a predictive analysis of news feed in finance. Your idea is worth it, but ask yourself how much effort and money you want to put for it. Best regards, A.

$250 USD in 30 days