... machine learning model is developed to predict whether a review is good or bad based on its textual content. The approach involved a comprehensive data preprocessing pipeline, including tokenization, stop-word removal and lemmatization. For feature engineering, a combination of sentiment analysis scores...

...Marlon Santiago Viñán-Ludeña; Luis M. de Campos Purpose The main purpose of this paper is to analyze a tourist destination using sentiment analysis techniques with data from Twitter and Instagram to find the most representative entities (or places) and perceptions (or aspects) of the users. Design...

...Tingting Zhang; Bin Li; Ady Milman; Nan Hua Purpose This study aims to examine technology adoption practices in Chinese theme parks by leveraging text mining and sentiment analysis approaches on actual theme park customers’ online reviews. Design/methodology/approach The study text mined a total...

... by developing and testing a new methodology for sentiment analysis that surpasses the standard dictionary-based method by creating two hotel-specific word lexicons. Design/methodology/approach Big data of hotel customer reviews posted on the TripAdvisor platform were collected and appropriately prepared...

...Chung-En Yu; Xinyu Zhang Purpose This study aims to quantify the underlying feelings of online reviews and discover the role of seasonality in customer dining experiences. Design/methodology/approach This study applied sentiment analysis to determine the polarity of a given comment. Furthermore...

... analytics and recommends an expansion of approaches; common analytical methods such as text analysis and sentiment analysis should be supplemented by infrequently used approaches such as comparative analysis and spatial analysis. Unlike supervised learning, the unsupervised approach to SM analysis does...

... was created and analysed. Metadata were analysed to assess the population of Twitter users, and sentiment analysis, using the Valence Aware Dictionary for Sentiment Reasoning algorithm, was performed. Findings Twitter posts provide considerable information, including about who is visiting and what sentiment...

... restaurants, this research used text mining and sentiment analysis to find meaningful patterns, popular words and emotional states in opinions. Findings Twitter users held mingled perceptions of different types of Asian restaurants. Sentiment analysis and ANOVA showed that the average sentiment scores...