A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction

Statistics – Applications

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Sentiment analysis is a new area in text analytics where it focuses on the analysis and understanding of the emotions from the text patterns. This new form of analysis has been widely adopted in customer relation management especially in the context of complaint management. With increasing level of interest in this technology, more and more companies are adopting it and using it to champion their marketing efforts. However, sentiment analysis using twitter has remained extremely difficult to manage due to the sampling bias. In this paper, we will discuss about the application of using reweighting techniques in conjunction with online sentiment divisions to predict the vote percentage that individual candidate will receive. There will be in depth discussion about the various aspects using sentiment analysis to predict outcomes as well as the potential pitfalls in the estimation due to the anonymous nature of the internet.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-126162

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.