EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet
Nowadays, social media have become a platform where people can easily express their opinions and emotions about any topic such as politics, movies, music, electronic products and many others. On the other hand, politicians, companies, and businesses are interested in analyzing automatically people{'}s opinions and emotions. In the last decade, a lot of efforts has been put into extracting sentiment polarity from texts. Recently, the focus has expanded to also cover emotion recognition from texts. In this work, we expand an existing emotion lexicon, DepecheMood, by leveraging semantic knowledge from English WordNet (EWN). We create an expanded lexicon, EmoWordNet, consisting of 67K terms aligned with EWN, almost 1.8 times the size of DepecheMood. We also evaluate EmoWordNet in an emotion recognition task using SemEval 2007 news headlines dataset and we achieve an improvement compared to the use of DepecheMood. EmoWordNet is publicly available to speed up research in the field on \url{http://oma-project.com}.
Code (0)
등록된 구현이 없습니다.
Tasks
Collaborative FilteringEmotion ClassificationEmotion RecognitionRecommendation SystemsSentiment AnalysisMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
DualCoTs: Dual Chain-of-Thoughts Prompting for Sentiment Lexicon Expansion of Idioms
Idioms represent a ubiquitous vehicle for conveying sentiments in the realm of everyday discourse, rendering the nuanced analysis of idiom sentiment crucial for a comprehensive understanding of emotional expression withi…
Sentiment AnalysisSemi-supervised emotion lexicon expansion with label propagation and specialized word embeddings
There exist two main approaches to automatically extract affective orientation: lexicon-based and corpus-based. In this work, we argue that these two methods are compatible and show that combining them can improve the ac…
Word EmbeddingsThe LiLaH Emotion Lexicon of Croatian, Dutch and Slovene
In this paper, we present emotion lexicons of Croatian, Dutch and Slovene, based on manually corrected automatic translations of the English NRC Emotion lexicon. We evaluate the impact of the translation changes by measu…
TranslationANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages
In this article we describe our method of automatically expanding an existing lexicon of words with affective valence scores. The automatic expansion process was done in English. In addition, we describe our procedure fo…
Word Affect Intensities
Words often convey affect -- emotions, feelings, and attitudes. Further, different words can convey affect to various degrees (intensities). However, existing manually created lexicons for basic emotions (such as anger a…
Emotion RecognitionText Generation