Smart phone Recommendation using User Reviews and Product Specifications

E-commerce platforms have been getting increasingly popular with a large number of people utilizing this platform increasingly. This is due to the increased convenience and ease of use offered by these platforms in shopping for essential items and other products at the comfort of your home. This is allowed a lot of disabled individuals and individuals with mobility issues to effectively stay at home and order various items that are needed easily. This has also led to a large number of e-commerce platforms that are vying for the attention of the users and trying to increase the user base to be able to provide effective solutions with ease. One such implementation is the realization of product recommendations to the user based on the various product reviews that are posted on the products. This is a highly complex task as a large number of reviews are posted for a product with varying degrees of positivity or negativity. Therefore to achieve effective product recommendation a number of related researches has been outlined in this research article which utilize the machine learning approaches.