...Yang Liu; Jiahao Huang; Fei Huang; Zhen Zhu; Lili Ma Purpose This research employs innovative deep learning techniques to perform sentiment analysis on airline customer feedback, systematically investigating service quality dimensions and customer satisfaction determinants through the theoretical...

... and thematic analysis were mapped onto the TTF theory. This led to the development of Generative AI Task-Technology Fit (GATTF), which extends TTF theory by two additional factors: consequences and external factors. Furthermore, sentiment analysis shows that users consider information generated by GenAI...

... re-use rights only Online reviews Social media analytics Sentiment analysis Online travel agencies (OTA) Tourism research Building on this foundation, recent scholarship has shifted toward data-driven methodologies to harness the scale and granularity of UGC. Traditional techniques...

.... The study utilizes topic modeling and sentiment analysis techniques to analyze the tweets. The opportunity value of each topic is determined, aiding in the identification of topics that require improvement. Furthermore, the interrelation between topics is explored, followed by correlation analysis to assess...

... and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China. Design/methodology/approach After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering...

... risk identification frameworks and text-mining approaches in SCRM. Section 3 presents the proposed risk identification framework. The results obtained by sentiment analysis, term analysis and FP-growth algorithm are illustrated in Section 4 . The practical implications of the research...

... 10 2021 07 11 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Cryptocurrency market behavior Sentiment analysis Hidden Markov model Unobserved heterogeneity Bull market Bear market Cryptocurrency on blockchain-related...

..., including topic modeling and sentiment analysis, to analyze the information implicit in customer-generated reviews. First, latent Dirichlet allocation (LDA) model is used to identify the topics that customers focus on. Furthermore, to explore the sentiment polarity of different topics, bi-directional long...

... customer response through dashboard construction. Originality/value This paper is a pioneer study measuring service quality with sentiment analysis, one of the text mining applications, using customers' reviews of a mobile bank. Seong-Won Eum is the corresponding author and can be contacted...

... The methodology involves topic modelling using latent Dirichlet allocation, sentiment analysis and process analysis based on process chain network (PCN). Findings The text analytics results showed that negative P2P accommodation experiences are caused by the lack of hot water for shower, poor sleep quality...

...-specific lexicon generation and corresponding sentiment analysis tasks. Originality/value This work appears to be the first to construct financial sentiment lexicons from over 2m posts and headlines collected from more than one language source. Furthermore, the authors believe that the data set...

... to estimate its economic impact. Furthermore, Zhang et al. (2013) proposed product comparison networks to extract comparative relations between products from online customer reviews. Sentiment analysis is used for review classification tasks. Studies in this area typically focus...

...Mengdi Li; Eugene Ch’ng; Alain Yee Loong Chong; Simon See Purpose Recently, various Twitter Sentiment Analysis (TSA) techniques have been developed, but little has paid attention to the microblogging feature – emojis, and few works have been conducted on the multi-class sentiment analysis...

... Lexicon modifiers Vimala Balakrishnan can be contacted at: vimala.balakrishnan@um.edu.my 11 07 2017 11 10 2017 04 12 2017 16 12 2017 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Social media Sentiment analysis...

.../methodology/approach This study chose MyStarbucksIdea.com (MSI) as a target open innovation community in which customers share their ideas. The authors analyzed a large data set collected from MSI utilizing text mining techniques including TF-IDF and sentiment analysis, while considering both term and non...

... – This paper uses sentiment analysis and prediction algorithms to analyze the performance of Indian movies based on data obtained from social media sites. The authors used Twitter4j Java API for extracting the tweets through authenticating connection with Twitter web sites and stored the extracted data...

... in our data set, the steps are: Dr Pei Pei Tan can be contacted at: peipei@um.edu.my © Emerald Group Publishing Limited 2014 Customer relationship management Malaysia Clustering Airlines Sentiment analysis Text mining Low-cost carriers (LCCs) improves consumer welfare...

... – PRODWeakFinder – to expect to detect product weaknesses through sentiment analysis in an effective way. Design/methodology/approach – PRODWeakFinder detects product weakness by considering both comparative and non-comparative evaluations in online reviews. For comparative evaluation, an aspect-oriented...