Port management reflects a process of transformation and globalized social and
socioeconomic evolution that must contribute to the era of the green transition. In this …

The task of sentiment analysis tries to predict the affective state of a document by examining
its content and metadata through the application of machine learning techniques. Recent …

Nowadays, social media has an enormous amount of news content with a sarcastic
message. It is often expressed in the form of verbal and non-verbal. In this paper, the authors …

In this study, a multitask model is proposed to perform simultaneous news category and
sentiment classification of a diverse dataset comprising 3263 news records spanning across …

A huge amount of information and data is now available in seconds through the internet.
Due to the availability of internet in the world, as the amount of online news is increasing on …

Abstract The Academic Alliance for Reconciliation, Conflict Transformation and Peace
Studies “is a promising approach to transforming violent conflict and spurring educational …

Sport is a compelling tool to promote peace, tolerance, and understanding. Today, this
peace-building dimension linked to sport is of greater significance due to the technologies of …

In contemporary times, as nancial content proliferates across the internet and social
networks, accurately predicting future trends has become an everyday necessity for …

Mechanized detection of sarcasm in textual data is a challenging task in NLP, as it involves
recognizing the opposite of what is actually meant. This has become important today since …

The subjectivity in news headlines frequently occurs in today's world of journalism, leading
to scandals and misleading information for readers. This present study aims to investigate …