Over the past 15 years,there have been a number of studies using text mining for predicting stock market data. Two recent publications employed support vector machines and second-order Factorization Machines, respectively, to this end. However, these approaches either completely neglect...

Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and social media data. In this study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis. The goal is to improve the accuracy and efficiency...

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such reviews encompass a range of expressions that extend beyond simple positive, negative, or neutral sentiments, delving into specific aspects discussed within the review. For...

Chapter 1:An Overview of Business Advancement Through Technology: Markets and Marketing in Transition -- Chapter 2: Digital Transformation of the Organisations Using AI Integrated Partner Relationship Management -- Chapter 3: Creating Value Proposition for Rural Banking Customers in Emerging...

Chapter 1. Zeros and Ones: Striving to Classify -- Chapter 2. Data Extractions and Extractors -- Chapter 3. Training AI, Computation, and the Environment -- Chapter 4. Discipline, Punish … and Workarounds -- Chapter 5. Institutional Inertia and Corporate Sovereignty -- Chapter 6. New Frontiers...