Affective Behaviour Analysis of On-line User Interactions:Are On-line Support Groups more Therapeutic than Twitter?
Table 4: The distribution (in percentages) of sentiment in statement sentences of posts and comments.
['[EMPTY]', '[BOLD] Sentiment Polarity Negative', '[BOLD] Sentiment Polarity Neutral', '[BOLD] Sentiment Polarity Positive']
For OSG, the predominant sentiment label of statements is positive and it is the highest for both posts and comments. However, the difference between the amounts of positive and negative statements is higher for the replying comments (34.5% vs. 42.5%). For Twitter, on the other hand, the predominant sentiment label of statements is neutral and the polarity distribution between posts and comments is very close. One particular observation is that the ratio of negative statements is higher in OSG for both posts and comments than in Twitter, which supports the idea of sharing negative experiences.