23 citations · 24 across the 3 of their papers we have counts for
4 papers
MINT -- Mainstream and Independent News Text Corpus
Danielle Caled, Paula Carvalho, Mário J. Silva
Most corpora approach misinformation as a binary problem, classifying texts as real or fake. However, they fail to consider the diversity of existing textual genres and types, whic…
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…