Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

A large amount of information exists in reviews written by users. This source of information
has been ignored by most of the current recommender systems while it can potentially …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

In order to recommend products to users we must ultimately predict how a user will respond
to a new product. To do so we must uncover the implicit tastes of each user as well as the …

Online reviews provide information about products and services valuable for consumers in
the context of purchase decision making. Online reviews also provide additional value to …

This study investigates the determinants of online review helpfulness, adopting various
predictors from three dimensions of the online review management: source factors, review …

Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …

Most online reviews consist of plain-text feedback together with a single numeric score.
However, understanding the multipleaspects' that contribute to users' ratings may help us to …

Discovering and summarizing opinions from online reviews is an important and challenging
task. A commonly-adopted framework generates structured review summaries with aspects …