Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

Online communication platforms are increasingly used to express suicidal thoughts. There is
considerable interest in monitoring such messages, both for population-wide and individual …

We present the development and evaluation of a semantic analysis task that lies at the
intersection of two very trendy lines of research in contemporary computational linguistics:(1) …

Recognising and understanding irony is crucial for the improvement natural language
processing tasks including sentiment analysis. In this study, we describe the construction of …

Recently, due to the increasing popularity of social media, the necessity for extracting
information from informal text types, such as microblog texts, has gained significant attention …

This thesis explores the ways by how people express their opinions on German Twitter,
examines current approaches to automatic mining of these feelings, and proposes novel …

This paper describes our contribution to the SemEval-2014 Task 9 on sentiment analysis in
Twitter. We participated in both strands of the task, viz. classification at message-level …

Determining the feelings of a user on a topic is called sentiment analysis. Sentiment analysis
is done so as not just to get a sort of feedback data for decision making but also to check the …

This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate
speech against immigrants and women in Twitter (hatEval). We considered a supervised …

Microblogs and social media platforms are now considered among the most popular forms
of online communication. Through a platform like Twitter, much information reflecting …