... of qualitative conversations. A sentiment analysis of the comments is done using SentiStrength. Findings When an allegation is leveled initially, the response from followers is overwhelmingly negative toward the influencer owing to moral coupling. However, when the allegations are proven to be false...

... is the most important factor of review helpfulness and positively affects it. However, few studies have examined the determinants of review length. This study attempts to address this issue. Online review Review length Self-determination theory Machine learning Sentiment analysis Big data...

...@leeds.ac.uk 25 01 2023 19 05 2023 30 08 2023 27 11 2023 27 11 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Social media venues Language User-generated content Sentiment analysis Data sources Emotional positivity...

... information and picture information. Through the models, the authors examine the short-term and long-term associations between social media sentiment and stock performance, measured by three metrics. Specifically, the authors design an enhanced sentiment analysis method, integrating random walk and word...

... Mercantile Exchange, respectively. Originality/value Two sentiment analysis methods for Chinese (Sina Weibo) and English (Twitter) posts are introduced, which can be reused for other semantic analysis tasks. Besides, the authors present a prediction model for the practical participants in the commodity...

...) and the content of engagement behaviors (affective, program-related and social content). Design/methodology/approach TV ratings and Twitter data were obtained. The content of tweets was analyzed by means of a sentiment analysis. A vector auto regression model was used to understand the interrelationship...

... Licensed re-use rights only Sentiment analysis Electronic word-of-mouth (eWOM) Gloating behaviour Schadenfreude feelings In the current information age, individuals have become active content creators by expressing and sharing their thoughts, opinions and sentiments regarding products...

...–2016. The unstructured data are analyzed using probabilistic topic modeling and sentiment analysis. Findings Five main topics are identified, unveiling the hidden structure of consumers’ beliefs. A sentiment analysis profiling the clustered opinions reveals that the opinions that are focused...

... they associate with specific words used in such reviews. Design/methodology/approach A panel data set of customer reviews was collected for auto, life, and home insurance from January 2012 to December 2015 using a web scraping technique. Using a sentiment analysis approach, 1,584 reviews for the auto, home...

...Atika Qazi; Ram Gopal Raj; Glenn Hardaker; Craig Standing Purpose The purpose of this paper is to map the evidence provided on the review types, and explain the challenges faced by classification techniques in sentiment analysis (SA). The aim is to understand how traditional classification...