Abstract:
Online shopping entails the risk that the acquired product might not align with expectations. Con-sequently, an escalating number of users are turning to product review v...Show MoreMetadata
Abstract:
Online shopping entails the risk that the acquired product might not align with expectations. Con-sequently, an escalating number of users are turning to product review videos. Nonetheless, due to the profusion of evaluations proliferating across the internet, users en-counter challenges when endeavoring to judiciously peruse the information germane to their interests. Henceforth, we are engrossed in the formulation of an analytical system designed to bolster the domain of online shopping. This system constitutes an analytical framework for the elucidation of product features, thereby expediting the discernment of which segments within a review video merit scrutiny. To elucidate, this system proffers the user with a quantification of product features delineated within the video, thereby affording streamlined video consumption. In this paper, we elucidate the development of a method tailored for the dissection of product features derived from the subtitles within review videos, concurrently ascertaining the “timestamps” of such mentions.
Date of Conference: 19-22 February 2024
Date Added to IEEE Xplore: 21 June 2024
ISBN Information: