otherentity ID: emotions

Related Papers

A Parallel Corpus of Music and Lyrics Annotated with Emotions

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractIn this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each …...

13580

An Examination of Cross-Cultural Similarities and Differences from Social Media Data with respect to Language Use

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractWe present a methodology for analyzing cross-cultural similarities and differences using language as a medium, love as domain, social media as a data source and 'Terms' and 'Topics' as cultural …...

13447

EmpaTweet: Annotating and Detecting Emotions on Twitter

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThe rise of micro-blogging in recent years has resulted in significant access to emotion-laden text. Unlike emotion expressed in other textual sources (e.g., blogs, quotes in newswire, email, product reviews, …...

13332

Affect in Tweets using Experts Model

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

Estimating the intensity of emotion has gained significance as modern textual inputs in po- tential applications like social media, retail markets, psychology, advertisementse- etc., carry a lot of emotions, feelings, …...

18713

EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThis paper describes our participation in the SemEval 2019 Task 3 - Contextual Emotion Detection in Text. This task aims to identify emotions, viz. happiness, anger, sadness in the context …...

25868

SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we present the SemEval-2019 Task 3 - EmoContext: Contextual Emotion Detection in Text. Lack of facial expressions and voice modulations make detecting emotions in text a challenging …...

25926

AlloSat: A New Call Center French Corpus for Satisfaction and Frustration Analysis

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present a new corpus, named AlloSat, composed of real-life call center conversations in French that is continuously annotated in frustration and satisfaction. This corpus has been set up to …...

15465

Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we investigate what types of stereotypical information are captured by pretrained language models. We present the first dataset comprising stereotypical attributes of a range of social groups …...

31988

A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe annotate 35,000 SNS posts with both the writer’s subjective sentiment polarity labels and the reader’s objective ones to construct a Japanese sentiment analysis dataset. Our dataset includes intensity labels …...

14250

TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, several studies on propaganda detection have involved document and fragment-level analyses of news articles. However, there are significant data and modeling challenges dealing with fine-grained detection of propaganda on …...

21163

Unsupervised Extractive Summarization of Emotion Triggers

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractUnderstanding what leads to emotions during large-scale crises is important as it can provide groundings for expressed emotions and subsequently improve the understanding of ongoing disasters. Recent approaches trained supervised …...

38239