AbstractWith the emergence of e-commerce websites, people rely more and more on online reviews from other users than ‘in-shop’ professionals to gather information about products that interest them.
This master-degree thesis is proposing a web-based application for navigating much efficiently through reviews of e-commerce products that contains an overwhelming number of reviews. To achieve this goal, we will be using different Natural Language Processing (NLP) technics and make a working implementation with HTML5 for front-end and Java8 for back-end.
|Date of Award||29 Aug 2017|
|Supervisor||Jean-Marie Jacquet (President), Patrick Heymans (Supervisor), Jean-Marc Davril (Co-Supervisor) & Maxime Cordy (Co-Supervisor)|
Using Semi-Automated Topic Extractions to Generate Navigation Interfaces for Consumer Reviews
Tamazian, H. (Author). 29 Aug 2017
Student thesis: Master types › Master in Computer science