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We attempt to learn which Twitter users are accurate predictors and explore several techniques in order to exploit this information to make more accurate predictions. ... We compare our results to strong baselines and against the betting line (prediction market) and found that the quality of extractions is more important than the quantity, suggesting that high precision ... of a team winning, as an aggregate over the whole extracted prediction set P. ...arXiv:1211.6496v2 fatcat:tqamoilcifeyvmnri4llpa2ddu
For predictions, we use three different methods that depend on the total number of tweets before the game for each team, fans sentiments toward each team and fans score predictions on Twitter. ... The sports and matches being played are also discussed on social media such as Twitter. ... From the extracted tweets, three features are extracted that include tweets' volume, aggregated fans' sentiments and score predictions. ...doi:10.22452/mjcs.vol30no1.5 fatcat:kihkufuagnfyfoanr5yqril5sa