Irony Detection in Twitter
نویسندگان
چکیده
منابع مشابه
Modelling Irony in Twitter
Computational creativity is one of the central research topics of Artificial Intelligence and Natural Language Processing today. Irony, a creative use of language, has received very little attention from the computational linguistics research point of view. In this study we investigate the automatic detection of irony casting it as a classification problem. We propose a model capable of detecti...
متن کاملAutomatic Detection of Irony and Humour in Twitter
Irony and humour are just two of many forms of figurative language. Approaches to identify in vast volumes of data such as the internet humorous or ironic statements is important not only from a theoretical view point but also for their potential applicability in social networks or human-computer interactive systems. In this study we investigate the automatic detection of irony and humour in so...
متن کاملExploring the Realization of Irony in Twitter Data
Cynthia Van Hee, Els Lefever and Véronique Hoste LT3, Language and Translation Technology Team Ghent University Groot-Brittanniëlaan 45, 9000 Ghent, Belgium cynthia.vanhee, els.lefever, [email protected] Abstract Handling figurative language like irony is currently a challenging task in natural language processing. Since irony is commonly used in user-generated content, its presence can ...
متن کاملA multidimensional approach for detecting irony in Twitter
Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection will become even more pressing. We describe here a set of textual features for recognizing irony at a linguistic level, especially in short texts created via social media such a...
متن کاملModelling Irony in Twitter: Feature Analysis and Evaluation
Irony, a creative use of language, has received scarce attention from the computational linguistics research point of view. We propose an automatic system capable of detecting irony with good accuracy in the social network Twitter. Twitter allows users to post short messages (140 characters) which usually do not follow the expected rules of the grammar, users tend to truncate words and use part...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Internet Technology
سال: 2016
ISSN: 1533-5399,1557-6051
DOI: 10.1145/2930663