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I am working on a project to find the opinion of a product/brand on twitter. Is there any sample dataset of opnion base tweets ? If possible labelled data - Positive/negative/neutral

  • If you create your own dataset, you can grab all tweets that contain a brand name, but what if the brand name is misspelled? Will your list of names to grab in tweets include the misspelled brand? I'd also like to know if there is software or a Perl module to capture tweets with certain keywords, not just the #words. Are you also wanting the tweet to be classified as "good", "bad", or "neutral"? What if the tweet mentions multiple brands? – Bulrush Apr 18 '16 at 14:03
  • No search /streaming API of twitter won't provide me with misspelled words. And there is a scenario -let's say roger beats Nadal. This is a positive tweet for roger but a negative for nadal. Most of the existing sentiment analysis use a bag of model approach, dictionary based or classification which cannot deal with such scenarios – karan sindwani Apr 19 '16 at 4:58
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This might help if you can't find an actual dataset:

  • i could find a lot of datasets but not a domain specific opinion based. Most of the tweets that i get from API are promotional, so they are filtered – karan sindwani Apr 19 '16 at 5:04

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