...-methods approach was used, combining quantitative survey data (n = 620) with sentiment analysis, logistic regression and linear regression. Participants completed an online questionnaire assessing prior experience, food neophobia and attitudes towards insect-based foods. Word association...

... real post–purchase behaviour. Design/methodology/approach A total of 2,417 consumer reviews were collected through web scraping. Sentiment analysis was performed and an automated thematic analysis was carried out quantifying the presence of keywords related to health, sustainability, welfare...

... marketing for the restaurant industry. Design/methodology/approach Evaluation of 2,320 TripAdvisor.com reviews of Michelin Green Star restaurants were conducted using BERTopic modelling and transformer-based sentiment analysis. A multistage regression framework that progresses from topic only...

... restaurants were analysed with the latent Dirichlet allocation algorithm. A sentiment analysis and a logistic regression analysis were also employed to estimate the effect of attributes on restaurant ratings. Findings Customer attention, food quality, decor and ambience and value for money are frequently...

... at: jacopo.ballerini@unito.it 28 06 2021 15 11 2021 27 03 2022 26 06 2022 03 08 2022 05 08 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Social media Social media engagement Sentiment analysis Supermarket COVID-19...

... The authors collected 136,835 online comments regarding “Internet-famous food” from Dianping platform between 2016 and 2019 using a web scraper. A sentiment lexicon for Internet-famous food was constructed, and sentiment analysis is further conducted to understand consumer attitudes. Additionally, the authors...

... to the call for acknowledging users' acceptance to new technologies in the food industry. This research will offer insights regarding the sentiment analysis, which will propose useful information that will support collaborative learning to enhance the success of the application and commercialisation...

... 4,800 users, that mentions keywords coffee and health was collected on a daily basis for a month in mid-2017. The tweets were categorized with a term frequency analysis, keyword-in-context analysis and sentiment analysis. Findings Results showed that the majority of tweets are neutral or slightly...