This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA)
of Hotels' Arabic reviews using supervised machine learning. The proposed approach …

In recent years, some methods of sentiment analysis have been developed for the health
domain; however, the diabetes domain has not been explored yet. In addition, there is a lack …

Infodemiology is the process of mining unstructured and textual data so as to provide public
health officials and policymakers with valuable information regarding public health. The …

Social applications foster the involvement of end users in Web content creation, as a result
of which a new source of vast amounts of data about users and their likes and dislikes has …

In recent years, a substantial effort has been made to develop sophisticated methods that
can be used to detect figurative language, and more specifically, irony and sarcasm. There …

Nowadays, financial data from social media plays an important role to predict the stock
market. However, the exponential growth of financial information and the different polarities …

There is a continued interest in understanding people's interest through the contents they
share online. However, the data generated is massive, characterized by textual jargons and …

Sentiment analysis is an important area that allows knowing public opinion of the users
about several aspects. This information helps organizations to know customer satisfaction …

The conformation of opinion in a society is analyzed in diverse studies, following diverse
perspectives, methods and tools. Previous studies are basically descriptive, predictive, and …

Using Plutchik's wheel of emotions framework, we identify the emotional content of 133,487
social media posts and the audience's emotional engagement expressed in 2,824,162 …