H
Huina Mao
Researcher at Oak Ridge National Laboratory
Publications - 27
Citations - 7998
Huina Mao is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Mood & Microblogging. The author has an hindex of 18, co-authored 26 publications receiving 7270 citations. Previous affiliations of Huina Mao include University of Manchester & Indiana University.
Papers
More filters
Journal ArticleDOI
Twitter mood predicts the stock market.
TL;DR: This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.
Posted Content
Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
TL;DR: This article performed a sentiment analysis of all public tweets broadcasted by Twitter users between August 1 and December 20, 2008 and found that events in the social, political, cultural and economic sphere do have a significant, immediate and highly specific effect on the various dimensions of public mood.
Proceedings Article
Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena
TL;DR: It is speculated that large scale analyses of mood can provide a solid platform to model collective emotive trends in terms of their predictive value with regards to existing social as well as economic indicators.
Journal ArticleDOI
A modified particle swarm optimizer with dynamic adaptation
TL;DR: A modified particle swarm optimization algorithm with dynamic adaptation that remarkably improves the ability of PSO to jump out of the local optima and significantly enhance the convergence precision.
Journal ArticleDOI
Happiness is assortative in online social networks
TL;DR: It is shown that the general happiness, or subjective well-being, of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network.