I am a student specializing in deep learning text analysis, with a focus on exploring sentiment analysis of online e-commerce platform reviews and their impact on product sales. My research in the field of deep learning text analysis is driven by my passion for the intersection of artificial intelligence and natural language processing. I believe that, through the application of deep learning technology, we can analyze and understand large volumes of text data more accurately and efficiently, revealing hidden insights and patterns within.
My research centers around sentiment analysis of online e-commerce platform reviews and their impact on product sales. I am interested in utilizing deep learning models to classify user-generated reviews on e-commerce platforms and conduct sentiment polarity analysis to help businesses gain a better understanding of consumer perceptions and feedback on their products and services. Additionally, I am keen on researching how to optimize product promotion and sales strategies, enhancing product market competitiveness through sentiment analysis results.
I aspire to contribute to the development of the e-commerce industry and the enhancement of user experiences through my research work. I will actively explore new research directions and methodologies, striving to translate research outcomes into practical applications to drive the development and progress of the relevant fields.
