Showing posts with label textual-emotion-analysis. Show all posts
Showing posts with label textual-emotion-analysis. Show all posts
Emotion recognition in election day tweets using optimised kernel extreme learning machine classifier
*** ABSTRACT: Today, microblogging has turned into a very well-known specialised device among web clients. A huge number of clients share i...
On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?
*** Abstract Social aspects of software projects become increasingly important for research and practice. Different approaches analyze the...
A survey on deep learning for textual emotion analysis in social networks
*** Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods...
An efficient way of text-based emotion analysis from social media using LRA-DNN
*** Abstract: Text devices are effectively and heavily used for interactions these days. Emotion extraction from the text has derived huge ...
The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis
*** Abstract: Internet environments such as social networks, news sites, and blogs are the platforms where people can share their ideas and ...
A Deep Learning-Based Text Emotional Analysis Framework for Yellow River Basin Tourism Culture
*** Abstract: As an important carrier of cultural communication, tourism can play a positive role in promoting regional ecology and cultural...
Vector based sentiment and emotion analysis from text: A survey
*** Abstract: As a primary means of communication, texts are used to implicitly or explicitly reflect emotions. Emotion or sentiment detect...
Machine Learning and Lexicon Approach to Texts Processing in the Detection of Degrees of Toxicity in Online Discussions
*** Abstract: This article focuses on the problem of detecting toxicity in online discussions. Toxicity is currently a serious problem when...
Text-Based Emotion Recognition Using Deep Learning Approach
*** Abstract: Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions towards a given goal, such as peop...
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...
Textual Emotion Detection Approaches: a Survey
*** Abstract: Over the past decades, social media attracted individuals to express their feelings on any topic or item, resulting in an incr...
A Complete Process of Text Classification System Using State-of-the-Art NLP Models
*** Abstract: With the rapid advancement of information technology, online information has been exponentially growing day by day, especially...
TERMS: textual emotion recognition in multidimensional space
*** Abstract: Microblogs generate a vast amount of data in which users express their emotions regarding almost all aspects of everyday life....
SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
*** Abstract: Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from un...
Emotion recognition in election day tweets using optimised kernel extreme learning machine classifier
*** ABSTRACT: Today, microblogging has turned into a very well-known specialised device among web clients. A huge number of clients share i...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
EmoMix+: An Approach of Depression Detection Based on Emotion Lexicon for Mobile Application
*** Abstract: Emotion lexicon is an important auxiliary resource for text emotion analysis. Previous works mainly focused on positive and n...
A review on sentiment analysis and emotion detection from text
*** Abstract: Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansi...
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