...’ sentiments regarding CBDCs in relation to the euro and the euro area. Design/methodology/approach Using “TextBlob” sentiment analysis, this paper analyzes 4,462 Tweets containing the keywords “cbdc” and “euro” posted between September 14, 2018, and June 19, 2023. It explores citizens’ perceptions...

... and experiences in this domain. Design/methodology/approach Employing a quantitative approach, this research utilizes Dynamic Correlated Topic Models (DCTM) and sentiment analysis techniques to analyze user-generated content from TripAdvisor. The methodology involves parsing through extensive online reviews...

... of educational robots, which is of great significance for facilitating artificial intelligence in education. In this section, topic modeling and sentiment analysis models used in our study are introduced as follows. Additionally, the semantic explanation of notations and abbreviations in our paper...

... tourism destinations. Design/methodology/approach Big data research was conducted to answer the research questions. The data was collected on a social media platform focusing on three destinations in the Mediterranean region. Three methods were employed to analyse the data: sentiment analysis, topic...

.../methodology/approach A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern...

... 2023 26 08 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Sentiment analysis Investor attention NeuralProphet CatBoost Crude oil futures prediction The futures exchange designates a standard contract known as a futures...

... of topic modeling (Bashar et al., 2022), fake news detection (Al-Ahmad et al., 2021 ; Paka et al., 2021), sentiment analysis (Chintalapudi et al., 2021 ; Song et al., 2021), has been carried out on the relevant data of this platform to improve the public...

... 23 03 2022 04 05 2022 08 06 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Social media information Sentiment analysis Opinion mining Enterprise credit risk prediction Supply chain Machine learning Enterprise...

...Chong Li; Yuling Qu; Xinping Zhu Purpose A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the evolution characteristics of online public opinion sentiments in complex...

.... In the stock market, sentiment analysis enables people for making educated decisions regarding the investment in a business. Moreover, the stock analysis identifies the business of an organization or a company. In fact, the prediction of stock prices is more complex due to high volatile nature that varies...

.../methodology/approach The study uses a variety of machine learning methods, namely, the latent Dirichlet allocation (LDA) theme extraction model, term frequency-inverse document frequency (TF-IDF) weighting method and sentiment analysis. This work also incorporates probabilistic hesitant fuzzy algorithm (PHFA...

... is to develop a method for capturing and analyzing e-WOM toward travel products based on sentiment analysis and stochastic dominance. Design/methodology/approach Specifically, online review information of travel products is first crawled and preprocessed. Second, sentiment strengths of online review...

... economy in China. Energy-saving refrigerator Online review Text mining Sentiment analysis Low-carbon consumption With the rapid development of social networks and electronic commerce (e-commerce), an increasing number of consumers are choosing online shopping, and a growing number...

... perceived values to the alternative products according to consumers’ expectations for these attributes and products’ specifications. For the WOM attributes, for which the consumers cannot give specific quantified expectations, the sentiment analysis method is used to identify the sentiment strengths...

...Chong Wu; Dong Zhang Purpose The purpose of this paper is to rank products by combining sentiment analysis (SA) and multiple attribute decision-making (MADM). Design/methodology/approach This research constructs intuitionistic fuzzy (IF)-based sentiment word framework and corresponding...

... polarities is among the objectives of sentiment analysis. One of the major issues in sentiment analysis is feature engineering while it severely affects time complexity and accuracy of sentiment classification. Design/methodology/approach In this paper, a feature reduction method is proposed that uses...

...Jia-Lang Seng; Hsiao-Fang Yang Purpose The purpose of this study is to develop the dictionary with grammar and multiword structure has to be used in conjunction with sentiment analysis to investigate the relationship between financial news and stock market volatility. Design/methodology...