An Analysis of Linguistics Patterns in Online Product or Service Reviews and their Influence on Customer Behavior

In this digital era, people share views, experiences, and issues about online products with others. It is the same case with the online customer; customers read and discuss everything about the target product through different websites created by the companies or site pages. Customer reviews are critical in this age. Numerous studies have been attempted regarding customer reviews of online product services. Still, significantly fewer steps are taken to improve the deficiency related to customer reviews. This study analyzes online product and service reviews by applying linguistic pattern analysis to identify customer needs. Combining context information extracted from the reviews with details about the products and services, a semantic embedding method is used to capture these needs effectively. This research represents an early effort to integrate insights from customer reviews with their underlying expectations. The proposed approach offers valuable potential for understanding online customer feedback on specific products and services.