Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

Recent evolutions in the e-commerce market have led to an increasing importance attributed
by consumers to product reviews made by third parties before proceeding to purchase. The …

The airline industry operates in a highly competitive market, in which achieving and
maintaining a high level of passenger satisfaction is seen as a key competitive advantage …

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 …

We present a lexicon-based approach to extracting sentiment from text. The Semantic
Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic …

In this study, app store reviews from two major micromobility companies are investigated
using machine learning techniques to identify the factors that influence rider satisfaction. The …

An important part of our information-gathering behavior has always been to find out what
other people think. With the growing availability and popularity of opinion-rich resources …

Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

In this paper, we make a comparative study of the effectiveness of ensemble technique for
sentiment classification. The ensemble framework is applied to sentiment classification …

In many Twitter applications, developers collect only a limited sample of tweets and a local
portion of the Twitter network. Given such Twitter applications with limited data, how can we …