Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

Twitter is a microblogging platform in which users can post status messages, called “tweets,”
to their friends. It has provided an enormous dataset of the so-called sentiments, whose …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Purpose–The success of e-retailers is intrinsically linked to the effectiveness of their logistics
processes which, inevitably, involve third party service providers. As the most tangible …

In recent years, a forward-looking subfield of machine learning has emerged with important
applications in a variety of scientific fields. Semi-supervised learning is increasingly being …

Supervised algorithms require a set of representative labeled data for building classification
models. However, labeled data are usually difficult and expensive to obtain, which motivates …

A análise de sentimentos é um campo de estudo com recente popularização devido ao
crescimento da Internet e do conteúdo que é gerado por seus usuários, principalmente nas …

In this study, we proposed a novel Lexicon-based pseudo-labeling method utilizing
explainable AI (XAI) approach. Existing approach have a fundamental limitation in their …

Subjectivity analysis determines existence of subjectivity in text using subjective clues. It is
the first task in opinion mining process. The difference between subjectivity analysis and …

In this paper, we develop an approach to automatically predict user ratings for recipes at
Epicurious. com, based on the recipes' reviews. We investigate two distributional methods …