2 research outputs found
Emotional Analysis of Blogs and Forums Data
We perform a statistical analysis of emotionally annotated comments in two
large online datasets, examining chains of consecutive posts in the
discussions. Using comparisons with randomised data we show that there is a
high level of correlation for the emotional content of messages.Comment: REVTEX format, 5 pages, 6 figures, 2 tables, accepted to Acta Physica
Polonica
Statistical analysis of emotions and opinions at Digg website
We performed statistical analysis on data from the Digg.com website, which
enables its users to express their opinion on news stories by taking part in
forum-like discussions as well as directly evaluate previous posts and stories
by assigning so called "diggs". Owing to fact that the content of each post has
been annotated with its emotional value, apart from the strictly structural
properties, the study also includes an analysis of the average emotional
response of the posts commenting the main story. While analysing correlations
at the story level, an interesting relationship between the number of diggs and
the number of comments received by a story was found. The correlation between
the two quantities is high for data where small threads dominate and
consistently decreases for longer threads. However, while the correlation of
the number of diggs and the average emotional response tends to grow for longer
threads, correlations between numbers of comments and the average emotional
response are almost zero. We also show that the initial set of comments given
to a story has a substantial impact on the further "life" of the discussion:
high negative average emotions in the first 10 comments lead to longer threads
while the opposite situation results in shorter discussions. We also suggest
presence of two different mechanisms governing the evolution of the discussion
and, consequently, its length.Comment: 26 pages, 16 figures, 6 table