...’ 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...

... classification model based on three-way decision to evaluate the public emotions about educational robots. The rest of this study is arranged as follows. Section 2 introduces the related literatures about public opinions toward educational robots, and sentiment analysis of online reviews. Section 3...

... 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...

... 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 contract, in which the parties agree to deliver a specific quantity of futures...

... 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...

... ; Schneider and Gupta, 2016). Using social media information for sentiment analysis, we can grade product brands (Kauffmann et al., 2019), understand market structure (Netzer et al., 2012), identify influential commentators (Ghose and Ipeirotis, 2011) and understand product attributes from...

...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...

... for this procedure include topic extraction and sentiment analysis. User-generated content, also known as word of mouth (WOM), has become an important part of online shopping, as consumers evaluate products based on past reviews (Ukpabi and Karjaluoto, 2018). The Internet extended WOM to online platforms, which...

... 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...