Media
How many emotions do humans have?
What do you think?
Showing posts with label *conf*. Show all posts
Showing posts with label *conf*. Show all posts
Emotion detection of social data: APIs comparative study
*** Abstract: The development of emotion detection technology has emerged as a highly valuable possibility in the corporate sector due to th...
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies
*** Abstract: Emotions are a crucial part of compelling narratives: literature tells us about people with goals, desires, passions, and inte...
Text-based emotion prediction system using machine learning approach
*** Abstract: Text-based input becomes a common channel for humans in sharing their opinions/emotions to the product or service through onli...
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
*** Abstract: People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for ...
Ten quick tips for effective dimensionality reduction
*** Dimensionality reduction (DR) is frequently applied during the analysis of high-dimensional data. Both a means of denoising and simplif...
EmoMix: Building an Emotion Lexicon for Compound Emotion Analysis
*** Abstract: Building a high-quality emotion lexicon is regarded as the foundation of research on emotion analysis. Existing methods have ...
A comparative analysis of detection mechanisms for emotion detection
*** Abstract: This paper compared the performance of emotion detection mechanisms using dataset crawled from Facebook diabetes support group...
Subspace Clustering of Very Sparse High-Dimensional Data
*** Abstract: In this paper we consider the problem of clustering collections of very short texts using subspace clustering. This problem a...
A Context Integrated Model for Multi-label Emotion Detection
*** Abstract: This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orie...
A Survey of Textual Emotion Detection
*** Abstract: Emotion detection in text is a research field that gained an extensive interest recently. The advancement in communication ne...
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet
*** Abstract: Nowadays, social media have become a platform where people can easily express their opinions and emotions about any topic such...
Study of text emotion analysis based on deep learning
*** Abstract: In traditional sentiment classification methods, sentiment-based methods rely heavily on the quality and coverage of sentiment...
Clustering and sentiment analysis on Twitter data
*** Abstract: Twitter is a social media platform is a great place where people from all parts of the world can make their opinions heard. T...
Tags
*conf*,
clustering,
sentiment-analysis
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...
Tags
*conf*,
deep-learning,
emotion-analysis
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...
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...
Expressions of Anxiety in Political Texts
*** Anxiety has a special importance in politics since the emotion is tied to decision-making under uncertainty, a feature of democratic ins...
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