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 …
Big data and AI-driven product design: A survey
As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …
personalized user requirements. Traditional product design methods fall short due to their …
Influential Social Media Marketing by Integrating the Strategic Implementation
This study explains the strategic application of influencer marketing in the business to
business (B2B) context and reveals the challenges that B2B organisations face in influencer …
business (B2B) context and reveals the challenges that B2B organisations face in influencer …
Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
In this paper, we explore the effectiveness of the GPT-3 model in tackling imbalanced
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis
Sentiment analysis of customer feedback is a pivotal component of Natural Language
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …
Improving sentiment classification using a RoBERTa-based hybrid model
Introduction Several attempts have been made to enhance text-based sentiment analysis's
performance. The classifiers and word embedding models have been among the most …
performance. The classifiers and word embedding models have been among the most …
Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
Background Social media platforms, especially Twitter, have turned out to be a major source
of data repositories. They have become a platform that citizens can use to voice their …
of data repositories. They have become a platform that citizens can use to voice their …
Engagement of early career researchers in collaborative assessments of IPCC reports: achievements and insights
The participation of a diverse–in terms of geography, discipline and gender–group of Early
Career Researchers (ECRs) in the peer review process can help alleviate the workload of …
Career Researchers (ECRs) in the peer review process can help alleviate the workload of …
Sentiment Difficulty in Aspect-Based Sentiment Analysis
Subjectivity is a key aspect of natural language understanding, especially in the context of
user-generated text and conversational systems based on large language models. Natural …
user-generated text and conversational systems based on large language models. Natural …
An Exploratory Case Study on Data Breach Journalism
This paper explores the novel topic of data breach journalism and data breach news through
the case of databreaches. net, a news outlet dedicated to data breaches and related cyber …
the case of databreaches. net, a news outlet dedicated to data breaches and related cyber …