Prof. Mike Thelwall: "Expressing Sentiment in Social Media: Twitter, YouTube and Social Network Sites"

, 12:15 pm to

This talk will describe methods to detect sentiment strength in social web texts using the free software SentiStrength and describe its application to social science research problems through sentiment analysis of text in the social web. SentiStrength gives researchers a fast way to detect sentiment and therefore makes it possible to run large scale analyses of texts to detect patterns of sentiment changes over time and across different contexts. The talk will describe an investigation into millions of tweets during a single month to detect sentiment changes associated with major events, an analysis of comments on a large collection of YouTube videos, and a study of sentiment-related homophily in online social networks.

Die Veranstaltung findet im OEC 0.211 statt.