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...

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...

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...