Affective computation has received more and more attentions in the field of artificial
intelligence; however, the calculation of affective lexicon ontology is a requirement for …

Nowadays, because of increasing of text data, recognizing the emotions of text can help to
get a better comprehension of context. However, finding emotional information from text is a …

Affective lexicon is one of the most important resource in affective computing for text.
Manually constructed affective lexicons have limited scale and thus only have limited use in …

This paper studies text affective analysis from three different levels: words, sentences and
discourses. Firstly, affective lexicon ontology is constructed by employing the manual and …

In this paper, we investigate the effectiveness of different affective lexicons through
sentiment analysis of phrases. We examine how phrases can be represented through …

Text affective computing or sentiment analysis is an important research domain for natural
language process, and it requires a large-scale emotion corpus, which can significantly …

In this paper, we present preliminary work on recognizing affect from a Korean textual
document by using a manually built affect lexicon and adopting natural language processing …

The present task of developing an emotion lexicon shows the differences from the existing
solutions by considering the definite as well as fuzzy connotation of the emotional words into …

Affective Computing (AC) contributes in new ways to improve communication between
sensitive human and computers which are unemotional. Emotion recognition from the text is …

Recently, studies on emotion recognition technology have been conducted in the fields of
natural language processing, speech signal processing, image data processing, and brain …