Online reviews have a decisive impact on consumers' purchasing decisions. This opens the
doors for spammers and scammers to post fake reviews for promoting non-existent products …

We describe the sentiment analysis experiments that were performed on the Lithuanian
Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial …

Advanced deep learning algorithms play a key role in optimizing energy usage in smart
cities, leveraging massive datasets to increase efficiency and sustainability. These …

Background Work circumstances can substantially negatively impact health. To explore this,
large occupational cohorts of free-text job descriptions are manually coded and linked to …

Bug tracking systems use repositories to keep track of the bugs to improve software quality.
A manual analysis of each bug and classifying it according to its severity is an …

Considering citizens' perceptions of their living environment is very helpful in making the
right decisions for city planners who intend to build a sustainable society. Mental map …

In recent studies, it has been shown that Multilingual language models underperform their
monolingual counterparts. It is also a well-known fact that training and maintaining …

Smart city technologies provide promising solutions for local governments to tackling
societal challenges and enhancing public service provision. The global embrace of these …

The rapid expansion of new technologies and services significantly affects society's
development and initiates significant changes within public administration. Many have …

Smart Assistants have rapidly emerged in smartphones, vehicles, and many smart home
devices. Establishing comfortable personal spaces in smart cities requires that these smart …