I am working on Twitter sentiment analysis. Now, I should prepare a training data set that fits for any kind of Twitter data that predicts the sentiment of a tweet as pos, neg, and neu.
From googling, I found an air-line tweets training data set with needed labels (pos, neg, neu, and sentiment). When I checked the sentiment of tweets with that training data set, it gave me mixed results. I found that some positive tweets are given as negative and negative as positive.
Is the method that I am following correct or not?
Please suggest your views for preparing a training data set that can predict any kind of the twitter data.