EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
*** Accurate detection of emotion from natural language has applications ranging from building emotional chatbots to better understanding in...
There are actually 27 human emotions, new study finds
Self-report captures 27 distinct categories of emotion bridged by continuous gradients
*** Abstract Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic t...
Inferring Spread of Readers’ Emotion Affected by Online News
*** Abstract: Depending on the reader, A news article may be viewed from many different perspectives, thus triggering different (and possibl...
Improvement of Sentiment Analysis Based on Clustering of Word2Vec Features
. Abstract: Recently, many researchers have shown interest in using Word2Vec as the features for text classification tasks such as sentimen...
Emotion analysis: A survey
*** Abstract: Emotions form a very important and basic aspect of our lives. Whatever we do, whatever we say, somehow does reflect some of o...
Lexicon based feature extraction for emotion text classification
*** Abstract General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion an...
Deep Learning approach for sentiment analysis of short texts
*** Abstract: Unstructured text data produced on the internet grows rapidly, and sentiment analysis for short texts becomes a challenge beca...
Beyond Just Text: Semantic Emoji Similarity Modeling to Support Expressive Communication 👫📲😃
*** Abstract: Emoji, a set of pictographic Unicode characters, have seen strong uptake over the last couple of years. All common mobile pla...
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