This compulsion to weigh in on a news event, even one with only a tangential relationship to one's own life, is endemic among people who use social media, according to Jonathan Taplin, a professor at the Annenberg School for Communication at the University of Southern California who has studied sentiment on Twitter.
According to one longitudinal study, punitive sentiment in the United States peaked in 1997 and has been dropping ever since.
The Twitter Political Index will be updated every day at 8pm ET. Twitter, of course, has been used to study political sentiment for quite a while now and the company even has its own Government & Politics team to analyze this data and assist third parties with their own efforts.
Here in Italy, where I am studying, the sentiment seems to be that Al Gore would do more to protect global democracy.
There exist several studies on sentiment analysis for the domain of microblogs.
However, there have been very few systematic studies on sentiment analysis of Chinese hot topics using deep-learning methods.
There are a number of studies about sentiment analysis that use different approaches for data preprocessing, feature selection, and sentiment classification [1, 3, 4, 6 10].
Earlier studies of sentiment analysis have focused mostly on performance comparison between lexical-based and machine learning approaches [42, 43] in terms of prediction accuracy and agreement [22, 24, 31].
Dr. Heidi Larson, an anthropologist at the London School of Hygiene & Tropical Medicine who studies public sentiment about vaccines, told HuffPost that stronger vaccination laws would help, as would laws that make it harder to qualify for exemptions.
