Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds

Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification. But not much work has been done to explore how reliable the opinions of the mass (crowd wisdom) in social network microblogs such as twitter are in predicting outcomes of certain events such as election debates. In this work, we investigate whether crowd wisdom is useful in predicting such outcomes and whether their opinions are influenced by the experts in the field. We work in the domain of multi-label classification to perform sentiment classification of tweets and obtain the opinion of the crowd. This learnt sentiment is then used to predict outcomes of events such as: US Presidential Debate winners, Grammy Award winners, Super Bowl Winners. We find that in most of the cases, the wisdom of the crowd does indeed match with that of the experts, and in cases where they don't (particularly in the case of debates), we see that the crowd's opinion is actually influenced by that of the experts.

READ FULL TEXT
research
12/03/2015

Approaches for Sentiment Analysis on Twitter: A State-of-Art study

Microbloging is an extremely prevalent broadcast medium amidst the Inter...
research
10/31/2017

Sentiment Protocol: A Decentralized Protocol Leveraging Crowd Sourced Wisdom

The wisdom of the crowd is a valuable asset in today's society. It is no...
research
08/31/2016

Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election

Opinions about the 2016 U.S. Presidential Candidates have been expressed...
research
11/07/2016

Balotage in Argentina 2015, a sentiment analysis of tweets

Twitter social network contains a large amount of information generated ...
research
05/25/2023

Measuring the Effect of Influential Messages on Varying Personas

Predicting how a user responds to news events enables important applicat...
research
03/14/2018

The Arabic discourse about support for ISIS on Twitter and what we can learn from that

Using a new supervised aggregated sentiment analysis algorithm (iSA), we...
research
10/04/2017

Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon

Sentiment analysis aims to uncover emotions conveyed through information...

Please sign up or login with your details

Forgot password? Click here to reset