activity
20172019
most citedDetection of the Prodromal Phase of Bipolar Disorder from Psychological and Phonological Aspects in Social Media

18 citations · 38 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2019

EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation

Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma +3

In this paper, we investigate the emotion recognition ability of the pre-training language model, namely BERT. By the nature of the framework of BERT, a two-sentence structure, we…

cs.IR20194 cited

Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences

Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado +4

Most previous studies on automatic recognition model for bipolar disorder (BD) were based on both social media and linguistic features. The present study investigates the possibili…

cs.CL2018

Facebook Reaction-Based Emotion Classifier as Cue for Sarcasm Detection

Po Chen Kuo, Fernando H. Calderon Alvarado, Yi-Shin Chen

Online social media users react to content in them based on context. Emotions or mood play a significant part of these reactions, which has filled these platforms with opinionated…

cs.CL2018

DeepEmo: Learning and Enriching Pattern-Based Emotion Representations

Elvis Saravia, Hsien-Chi Toby Liu, Yi-Shin Chen

We propose a graph-based mechanism to extract rich-emotion bearing patterns, which fosters a deeper analysis of online emotional expressions, from a corpus. The patterns are then e…

cs.IR201718 cited

Detection of the Prodromal Phase of Bipolar Disorder from Psychological and Phonological Aspects in Social Media

Yen-Hao Huang, Lin-Hung Wei, Yi-Shin Chen

Seven out of ten people with bipolar disorder are initially misdiagnosed and thirty percent of individuals with bipolar disorder will commit suicide. Identifying the early phases o…

cs.CL201716 cited

Surfacing contextual hate speech words within social media

Jherez Taylor, Melvyn Peignon, Yi-Shin Chen

Social media platforms have recently seen an increase in the occurrence of hate speech discourse which has led to calls for improved detection methods. Most of these rely on annota…