Emotion Corpus
Related Papers
Emotion Estimation from Sentence Using Relation between Japanese Slangs and Emotion Expressions
Most of Japanese slang words such as Waka- mono Kotoba are analyzed as “unknown word” or segmented wrongly by the morpho- logical analysis system. These problems are causing negative effect …...
Mining Sentiment Words from Microblogs for Predicting Writer-Reader Emotion Transition
AbstractThe conversations between posters and repliers in microblogs form a valuable writer-reader emotion corpus. This paper adopts a log relative frequency ratio to investigate the linguistic features which affect emotion …...
Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition
AbstractEmotional aspects play a vital role in making human communication a rich and dynamic experience. As we introduce more automated system in our daily lives, it becomes increasingly important to …...
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning
AbstractDetection and classification of emotion categories expressed by a sentence is a challenging task due to subjectivity of emotion. To date, most of the models are trained and evaluated on …...
SB-CH: A Swiss German Corpus with Sentiment Annotations
We present the SB-CH corpus, a novel Swiss German corpus with annotations for sentiment analysis. It consists of more than 200,000 phrases (approx. 1 Mio tokens) from Facebook comments and …...
An Event-comment Social Media Corpus for Implicit Emotion Analysis
AbstractThe classification of implicit emotions in text has always been a great challenge to emotion processing. Even though the majority of emotion expressed implicitly, most previous attempts at emotions have …...
Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification
AbstractIn the case of using a deep learning (machine learning) framework for emotion classification, one significant difficulty faced is the requirement of building a large, emotion corpus in which each …...