Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …

The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

Sentiment analysis (SA) has become one of the most active and progressively popular areas
in information retrieval and text mining due to the expansion of the World Wide Web (WWW) …

This work proposes an extension of Bing Liu's aspect-based opinion mining approach in
order to apply it to the tourism domain. The extension concerns with the fact that users refer …

The idiosyncrasy of the Web has, in the last few years, been altered by Web 2.0
technologies and applications and the advent of the so-called Social Web. While users were …

This study proposes a novel decision support system for product ranking problems which
integrates multi criteria decision making (MCDM) and aspect level sentiment analysis …

Now a day's internet is the most valuable source of learning, getting ideas, reviews for a
product or a service. Everyday millions of reviews are generated in the internet about a …

Opinion target extraction or aspect extraction is the most important subtask of the aspect-
based sentiment analysis. This task focuses on the identification of the targets of user's …