Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …

Social media slang, encompassing informal language, words, phrases, and acronyms on
digital platforms, reflects the dynamic nature of online communication. Analyzing social …

The objective of this research is to enhance the efficiency of intelligence acquisition through
sentiment analysis of public opinion, a crucial element of open-source intelligence, utilizing …

The design and development of text-based knowledge graph completion (KGC) methods
leveraging textual entity descriptions are at the forefront of research. These methods involve …

Accurate power load forecasting is an important part of power system operation planning, it
can ensure the stable operation of power systems and improve the efficiency of energy …

Multivariate Time Series (MTS) forecasting entails the intricate process of modeling temporal
dependencies within historical data records. Transformers have demonstrated remarkable …

Chatbot technology, a rapidly growing field, uses Natural Language Processing (NLP)
methodologies to create conversational AI bots. Contextual understanding is essential for …

In this investigation, we propose a solution for the author's gender identification task called
AGI-P. This task has several real-world applications across different fields, such as …

This study aims to reveal the dominant research interests and models in serious games
research using topic modeling analysis. The dataset of this study covers a comprehensive …

The requirement for creating automatic text summarization systems has dramatically
increased as a result of the web's tremendous expansion in textual data and the challenge …