23 citations · 45 across the 4 of their papers we have counts for
5 papers
FTR-18: Collecting rumours on football transfer news
Danielle Caled, Mário J. Silva
This paper describes ongoing work on the creation of a multilingual rumour dataset on football transfer news, FTR-18. Transfer rumours are continuously published by sports media. T…
Quantifying Mental Health from Social Media with Neural User Embeddings
Silvio Amir, Glen Coppersmith, Paula Carvalho +2
Mental illnesses adversely affect a significant proportion of the population worldwide. However, the methods traditionally used for estimating and characterizing the prevalence of…
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces
Silvio Amir, Rámon Astudillo, Wang Ling +2
Recent approaches for sentiment lexicon induction have capitalized on pre-trained word embeddings that capture latent semantic properties. However, embeddings obtained by optimizin…
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir, Byron C. Wallace, Hao Lyu +1
We introduce a deep neural network for automated sarcasm detection. Recent work has emphasized the need for models to capitalize on contextual features, beyond lexical and syntacti…
POPmine: Tracking Political Opinion on the Web
Pedro Saleiro, Sílvio Amir, Mário J. Silva +1
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promi…