Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

10Big Data and Deep Learning‐based Tourism Industry Sentiment Analysis Using Deep Spectral Recurrent Neural Network

Chingakham Nirma Devi¹ and R. Renuga Devi²

¹Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India

²Department of Computer Science and Applications (MCA), SRM Institute of Science and Technology, Ramapuram, Chennai, India

10.1 Introduction

Big data has attracted the attention of many researchers due to its great potential and ability to solve problems associated with large amounts of data. The tourism industry is one of the industries that seeks to improve business processes using the concept of big data. How tourism researchers use this data, and this new type of data may be part of a new research paradigm that requires new methods that improve the theoretical understanding of tourism. It’s time to find out. So far, online data sources are mainly used for application research. It provides (often free) data that provides insights into the travel/tourism industry and its customer activities. It is not surprising that previous research has focused on business strategy development, innovation and product development, and marketing activities.

The concept of tourism satisfaction is important in the context of the tourism industry, as it is a service‐oriented industry that relies on positive emotions and feedback from the customer. Satisfaction as a theoretical structure has long been explored and discussed, ...