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TwitterPaul: Extracting and Aggregating Twitter Predictions [article]

Naushad UzZaman, Roi Blanco, Michael Matthews
2012 arXiv   pre-print
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

Predicting The Cricket Match Outcome Using Crowd Opinions On Social Networks: A Comparative Study Of Machine Learning Methods

Raza Ul Mustafa, M. Saqib Nawaz, M. Ikram Ullah Lali, Tehseen Zia, Waqar Mehmood
2017 Malaysian Journal of Computer Science  
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