1 research outputs found
Studying Positive Speech on Twitter
We present results of empirical studies on positive speech on Twitter. By
positive speech we understand speech that works for the betterment of a given
situation, in this case relations between different communities in a
conflict-prone country. We worked with four Twitter data sets. Through
semi-manual opinion mining, we found that positive speech accounted for < 1% of
the data . In fully automated studies, we tested two approaches: unsupervised
statistical analysis, and supervised text classification based on distributed
word representation. We discuss benefits and challenges of those approaches and
report empirical evidence obtained in the study.Comment: 13 pages, 6 table