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.
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
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.