Beyond sentiment analysis: A review of recent trends in text based sentiment analysis and emotion detection
LP Hung, S Alias - Journal of Advanced Computational Intelligence …, 2023 - jstage.jst.go.jp
Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …
recent years, as big data rose in popularity more areas of text classification are being …
Emotion and sentiment analysis from Twitter text
K Sailunaz, R Alhajj - Journal of computational science, 2019 - Elsevier
Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …
share their views and perspectives on different issues and subjects with their friends, family …
Emotion detection from text and speech: a survey
K Sailunaz, M Dhaliwal, J Rokne, R Alhajj - Social Network Analysis and …, 2018 - Springer
Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …
valuable input to a variety of purposes. People express their emotions directly or indirectly …
Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
Cognitive reappraisal intends to study the significance of an event concerning any emotional
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …
Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study
The pandemic COVID 19 has altered individuals' daily lives across the globe. It has led to
preventive measures such as physical distancing to be imposed on individuals and led to …
preventive measures such as physical distancing to be imposed on individuals and led to …
[HTML][HTML] Nursing perspectives on the impacts of COVID-19: social media content analysis
Background: Nurses are at the forefront of the COVID-19 pandemic. During the pandemic,
nurses have faced an elevated risk of exposure and have experienced the hazards related …
nurses have faced an elevated risk of exposure and have experienced the hazards related …
[HTML][HTML] Emotions of COVID-19: content analysis of self-reported information using artificial intelligence
Background The COVID-19 pandemic has disrupted human societies around the world. This
public health emergency was followed by a significant loss of human life; the ensuing social …
public health emergency was followed by a significant loss of human life; the ensuing social …
A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web
The social web has enabled individuals from all walks of life to openly express their
emotions and sentiment in relation to current affairs, local issues and personal …
emotions and sentiment in relation to current affairs, local issues and personal …
Sentiment Analysis in monitoring software development processes: An exploratory case study on GitHub's project issues
F Jurado, P Rodriguez - Journal of Systems and Software, 2015 - Elsevier
Software process models, which allow us to develop software products, can be improved by
using the corresponding quality model. However, current tendencies in the application of …
using the corresponding quality model. However, current tendencies in the application of …
Emotion recognition and its application in software engineering
In this paper a novel application of multimodal emotion recognition algorithms in software
engineering is described. Several application scenarios are proposed concerning program …
engineering is described. Several application scenarios are proposed concerning program …