Abstract The Internet of Things (IoT) has been growing over the past few years due to its
flexibility and ease of use in real-time applications. The IoT's foremost task is ensuring that …

With the emergence of social networks, opinion detection has become an active research
area with different applications and several opinionated resources such as product reviews …

Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …

Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …

In modern society, the use of social networks is more than ever and they have become the
most popular medium for daily communications. Twitter is a social network where users are …

This study describes a hybrid semantic knowledgebase-machine learning strategy for
mining domain feature-level opinions and categorizing them on a multi-point scale. A …

Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and
its dialects. This approach is based on a sentiment corpus, constructed automatically and …

Humanitarian disasters have been on the rise in recent years due to the effects of climate
change and socio-political situations such as the refugee crisis. Technology can be used to …

Retweeting is an important way of information propagation on Twitter. In this paper, we
investigate the sentiment correlation between regular tweets and retweets. We anticipate our …