Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

The explosion of online and offline data has changed how we gather, evaluate, and
understand data. It is frequently difficult and time-consuming to comprehend large text …

This survey investigates several research studies that have been conducted in the field of
Arabic text summarization. Specifically, it addresses summarization and evaluation methods …

The focus of data scientists is essentially divided into three areas: collecting data, analyzing
data, and inferring information from data. Each one of these tasks requires special …

Sentiment analysis is a classification task where polarity of textual data is identified, ie to
analyze whether a sentence or document expresses a negative, positive or neutral …

Diglossia is one of the main characteristics of Arabic language. In Arab countries, there are
three forms of Arabic that co-exist: Classical Arabic (CA) which is mainly used in the Quran …

In this research, a method of develo** a machine model for sentiment processing in the
Serbian language is presented. The Serbian language, unlike English and other popular …

Te reo Māori, the Indigenous language of Aotearoa New Zealand, is a distinctive feature of
the nation's cultural heritage. This paper documents our efforts to build a corpus of 79,000 …

Automatic short answer grading is a significant problem in E-assessment. Several models
have been proposed to deal with it. Evaluation and comparison of such solutions need the …

Text summarization is the process of shortening the text so that it conveys the key points.
Several text summarization methods and benchmark corpora are available for languages …