... employed a text mining approach to scrutinize textual data from social media, encompassing semantic network analysis to identify public focus, sentiment analysis to assess the emotional orientation of the public and, ultimately, topic clustering to uncover the primary reasons behind positive and negative...

... with the live streamer’s explanations, markedly enhances consumers’ purchase intentions. Originality/value This study introduces a novel metric of information quantity to distinguish useful reviews from the broader dataset, integrating it with sentiment analysis and feature extraction techniques. Unlike...

... 27 02 2024 23 06 2024 30 09 2024 20 10 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Peer review comments Multiple review rounds Aspect extraction Sentiment analysis The duration of peer review Nowadays...

... 11 12 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Public opinion Users' expression preferences Expression impacts Emergency event Anomie detection Sentiment analysis Sentiment analysis aims to identify users...

... in social networks, which was determined by employing SNW features. Sentiment analysis Social network Health information management Health social media analytics Patient forums Text summarization Health and our lives are intimately connected, and numerous daily events that involve health...

...Rutilio Rodolfo López Barbosa; Salvador Sánchez-Alonso; Miguel Angel Sicilia-Urban Purpose – The purpose of this paper is to assess the reliability of numerical ratings of hotels calculated by three sentiment analysis algorithms. Design/methodology/approach – More than one million reviews...