Harnessing Cloud Computing for Opinion Mining in Online Product Reviews
Meeka Gandham, Dr Bhuvana J · International Journal of Research Publication and Reviews · 2024
The rapid growth of online product reviews has led to a surge in the volume of unstructured textual data, presenting both opportunities and challenges for businesses.Opinion mining, a subfield of natural language processing, aims to extract valuable insights from this vast amount of data.Cloud computing has emerged as a promising solution for handling the computational demands of opinion mining tasks due to its scalability and flexibility.This paper presents a comprehensive overview of the application of cloud computing in opinion mining of online product reviews.It discusses the challenges associated with traditional on-premises infrastructure and highlights the advantages of migrating opinion mining tasks to the cloud.Utilizing cloud resources enables efficient processing of large-scale datasets, real-time analysis, and seamless integration with other cloud-based services.Furthermore, the paper explores various opinion mining techniques, including sentiment analysis, aspect-based sentiment analysis, and opinion summarization, and discusses how these techniques can be implemented in a cloud computing environment.It also addresses the importance of data privacy and security in cloud-based opinion mining systems and proposes strategies to mitigate potential risks.Additionally, the paper discusses several case studies and real-world applications where cloud computing has been successfully utilized for opinion mining in online product reviews.These case studies demonstrate the effectiveness of cloud-based solutions in extracting actionable insights from vast amounts of unstructured textual data, enabling businesses to make informed decisions and enhance customer satisfaction.