Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

Nowadays, online word-of-mouth has an increasing impact on people's views and
decisions, which has attracted many people's attention. The classification and sentiment …

Abstract In an industry 4.0 era, manufacturers must make the right decisions concerning
reutilizing and recycling returned goods to lower waste by connecting and integrating …

The COVID-19 pandemic is changing daily routines for many citizens with a high impact on
the economy in some sectors. Small-medium enterprises of some sectors need to be aware …

In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector
Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially …

G20 countries, account for the majority of global carbon emissions, need to take the lead in
mitigating climate change. However, there are differences in economic, political and …

Social media has become an excellent way to discover people's thoughts about various
topics and situations. In recent years, many studies have focused on social media during …

Анотація The presented study addresses the issue of classifying emotional expressions
based on small texts (tweets) extracted from the social network Twitter. In this paper, we …

Social media has become an excellent way to discover people's thoughts about various
topics and situations. In recent years, many studies have focused on social media during …