Tweets Dataset

Sarcasm is a form of speech act in which the speakers convey their message in an implicit way. The inherently ambiguous nature of sarcasm sometimes makes it hard even for …...

In this paper, we propose a baseline message- level sentiment classification method, as de- veloped for SemEval-2015 Task 10, Subtask B. This system leverages both hand-crafted features and message-level embedding …...

AbstractStreaming media provides a number of unique challenges for computational linguistics. This paper studies the temporal variation in word co-occurrence statistics, with application to event detection. We develop a spectral …...

AbstractResearch on social media has to date assumed that all posts from an account are authored by the same person. In this study, we challenge this assumption and study the …...

AbstractSocial media plays a great role in news dissemination which includes good and bad news. However, studies show that news, in general, has a significant impact on our mental stature …...

AbstractOptimal language acquisition via reading requires the learners to read slightly above their current language skill level. Identifying material at the right level is the essential role of automatic readability …...

AbstractNatural language processing models often have to make predictions on text data that evolves over time as a result of changes in language use or the information described in the …...

AbstractThe performance of hate speech detection models relies on the datasets on which the models are trained. Existing datasets are mostly prepared with a limited number of instances or hate …...

Public expression of vaccine related sentiment on social media platforms can be used in infor- mation surveillance applications to gain insight into vaccine hesitancy and its spread. Effective identification of …...