Abstract General Purpose Emotion Lexicons (GPELs) that associate words with emotion
categories remain a valuable resource for emotion analysis of text. However the static and …

General-purpose emotion lexicons (GPELs) that associate words with emotion categories
remain a valuable resource for emotion detection. However, the static and formal nature of …

Understanding word-level emotion in terms of both category and intensity has always been
considered an essential step in addressing text emotion classification tasks. Existing studies …

In recent years, increasing impact of social networks on people's opinions and decision
making has attracted lots of attention. Microblogging, one of the most popular social network …

Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

Are word-level affect lexicons useful in detecting emotions at sentence level? Some prior
research finds no gain over and above what is obtained with ngram features—arguably the …

Several lexica for sentiment analysis have been developed; while most of these come with
word polarity annotations (eg, positive/negative), attempts at building lexica for finer-grained …

Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …

Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions
towards a given goal, such as people, activities, organizations, services, subjects, and …

An emotion lexicon is an indispensable resource for emotion analysis. This paper aims to
mine the relationships between words and emotions using weblog corpora. A collocation …