Abstract
Opinion mining is one of the most important tasks of natural language processing, which is also known as sentiment analysis, used to identify about what people have an impression about their services and products in social media platforms. To improve marketing strategies using product reviews, an effective method should be used for predicting the sentiment polarity. In this research article, a Machine learning technique called Support Vector Machine (SVM) is used to design a model and this model has been implemented on an E-commerce application. The data used in this study are online product reviews which are collected from Amazon.com. The experiments of sentiment analysis are performed for two levels of categorization: review level and sentence level. The main focus of this paper is to present a real-time sentimental analysis on the product reviews of e-commerce application so that the user experience can be enhanced.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
