This study demonstrates a way of bringing an innovative data source, social media
information, to the government accounting information systems to support accountability to …

A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

With the growing number of literature on movie revenue prediction using machine learning
techniques in recent years, a systemic review will help in strengthening the understanding of …

Corporate bankruptcy prediction is an important task in the determination of corporate
solvency, that is, whether a company can meet up to its financial obligations or not. It is …

The increase in acceptability and popularity of social media has made extracting information
from the data generated on social media an emerging field of research. An important branch …

Typhoon disaster may not only cause power outage physically, but also breed negative
sentiments in public opinion and affect social stability. Therefore, an intelligent power grid …

Aspect-level sentiment analysis aims to predict the sentiment orientation of a specific aspect
in one context. Recent studies have achieved great success in modeling aspect and context …

Reputation is shaped depending on factors such as the quality of products and services
offered by a brand to its stakeholders, its reliability, and its innovative aspect in the eyes of …

Aspect-based sentiment analysis has been a popular topic in natural language processing
in recent years that aims to determine the sentiment polarity of a specific aspect in one …

Since the Coronavirus disease 2019 (COVID-19) pandemic hit the world, it had a significant
negative impact on individuals, governments, and the global economy. One way to reduce …