Loading [MathJax]/extensions/MathZoom.js
Visual sentiment prediction with transfer learning and big data analytics for smart cities | IEEE Conference Publication | IEEE Xplore

Visual sentiment prediction with transfer learning and big data analytics for smart cities


Abstract:

Internet of things and social media platforms have changed the way people communicate and express themselves. People are now sharing their experiences and views in blogs,...Show More

Abstract:

Internet of things and social media platforms have changed the way people communicate and express themselves. People are now sharing their experiences and views in blogs, micro-blogs, comments, photos, videos, and other postings in social sites. It has been recognized that timely reactions to public opinions and sentiments and its proper use by city governments are of paramount importance to their missions. Despite of the widely recognized potential of sentiment analysis, relatively little is known about how to best harness its potential benefits for smart cities. The objective of this article is to help fill the void by reviewing the state of the art and opportunities of data sources and applications of sentiment analysis for smart cities. Additionally, The article explores deep features of photos shared by users in Twitter via transfer learning. Thus revealing interesting research opportunities and applications.
Date of Conference: 24-26 October 2016
Date Added to IEEE Xplore: 05 January 2017
ISBN Information:
Electronic ISSN: 2327-1884
Conference Location: Tangier, Morocco

References

References is not available for this document.