Sentiment knowledge extraction is a growing area of research in the literature. It helps in
analyzing users' opinions about different entities or events, which can then be utilized by …

In this paper we focus on a particular interesting web user-generated content: people's
experiences. We extend our previous work on aspect extraction and sentiment analysis and …

Purpose Recommender system approaches such as collaborative and content-based
filtering rely on user ratings and product descriptions to recommend products. More recently …

In this paper we focus on a particular interesting type of web user-generated content:
people's experiences. We extend our previous work on aspect extraction and sentiment …

Millions of people interact and share interesting information every day in the Social Web.
From daily conversations to comments about products in e-commerce sites, the content …

This thesis is split into five main sections. In 1. Introduction, we provide a brief background
on boiler operation and literature in the areas of clustering and case-based reasoning and …

In these competitive times, designers need to constantly update their tangible products with
new features and functionalities to retain market share. This is especially important for …

Millions of people interact and share interesting information every day in the Social Web.
From daily conversations to comments about products in e-commerce sites, the content …

Millions of people interact and share interesting information every day in the Social Web.
From daily conversations to comments about products in e-commerce sites, the content …