A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews

María Hernández-Rubio
María Hernández-Rubio

User Modeling and User-Adapted Interaction, pp. 1-61, 2018.

Cited by: 10|Bibtex|Views47|Links
EI
Keywords:
Recommender systemsAspect-based recommendationSentiment analysisOpinion miningAspect extractionMore(1+)

Abstract:

In popular applications such as e-commerce sites and social media, users provide online reviews giving personal opinions about a wide array of items, such as products, services and people. These reviews are usually in the form of free text, and represent a rich source of information about the users’ preferences. Among the information elem...More

Code:

Data:

Your rating :
0

 

Tags
Comments