Volume 6 Issue 4 - March 2016

  • 1. An e-commerce feedback comments mining

    Authors : Fiza Khan, Snehal Kukadkar, Swati Tidke

    Pages : 486 - 488

    Keywords : Opinion mining,Reputation Mining, E-commerce,SentiWordNet, Topic Modelling

    Abstract :

    Online Shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the internet using a web browser.The users are attracted to online-shopping not only due to the convenience in accessing the information of items on-sold, but also the availability of the other buyer’s feedback on their purchasing experience, item-related and/or seller related. Reputation-based trust models are widely used in e-commerce applications, and feedback ratings are aggregated to compute sellers’ reputation trust scores. An E-Commerce feedback comments Mining proposes a novel technique that uses a multi-dimensional trust evaluation model, for computing comprehensive trust scores for sellers in e-commerce applications. The system computes dimension trust scores and the dimension weights. It automatically extracts dimension ratings from feedback comments and by combining natural language processing with opinion mining and summarization techniques in trust evaluation to improve the accuracy for mining process.

    Citing this Journal Article :

    Fiza Khan, Snehal Kukadkar, Swati Tidke, "An e-commerce feedback comments mining", https://www.ijltet.org/journal_details.php?id=899&j_id=2992, Volume 6 Issue 4 - March 2016, 486 - 488, #ijltetorg