...’ 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...

... stakeholders. Recently, Nagy and Holik (2022) explored attitudes of educators towards educational robots by questionnaire survey using the related scale for robots. Educational robots Text mining Topic modeling Sentiment analysis Online reviews As pointed out by (Wirtz et al...

... 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...

... integrated model that considers investor factors to enhance the accuracy of crude oil futures forecasting. This method can also be applied to other financial markets to improve their forecasting efficiency. Sentiment analysis Investor attention NeuralProphet CatBoost Crude oil futures prediction...

... classification methods for tweets on the Twitter social network. The problem of text classification is one of the most important problems in NLP, the purpose of which is to assign appropriate labels to the desired texts. This technique has many applications in understanding sentiment analysis from social media...

... analysis determines the quality of social media data utilization, which is directly related to the prediction performance. This framework provides a dictionary method for sentiment analysis, which is a common approach (Da et al., 2014 ; Davis et al., 2012). Baker et al. (2016...

...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...

.../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...

.... 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...

... 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...

... 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 of online reviews are being posted on the Internet daily (Zhao et...

... 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...