Social Media as Alternative Media for Arabic Teaching in Digital Era
نویسندگان
چکیده
منابع مشابه
Teaching and Learning in the Era of New Digital Media
Die derzeitige Diskussion über den Einsatz Neuer Medien in der Bildung erinnert durchaus an Bemühungen in den frühen Phasen des computerunterstützten Unterrichts (CUU), das Schulsystem zu automatisieren. Die heute diskutierten und teils angewandten Konzepte beruhen allerdings auf einer wesentlich verbesserten Technologie: Einer enormen Leistungssteigerung der Computer, ihrer weltweiten Vernetzu...
متن کاملAlternative Media as Critical Media
This article deals with the category of alternative media from a theoretical perspective. It aims to develop a definition and to distinguish different dimensions of alternative media. The article is a contribution to theoretical foundations of alternative media studies. The notion of alternative media as critical media is introduced. Critical media product content shows the suppressed possibili...
متن کاملSentiment Lexicons for Arabic Social Media
Existing Arabic sentiment lexicons have low coverage—only a few thousand entries. In this paper, we present several large sentiment lexicons that were automatically generated using two different methods: (1) by using distant supervision techniques on Arabic tweets, and (2) by translating English sentiment lexicons into Arabic using a freely available statistical machine translation system. We c...
متن کاملNamed Entity Recognition for Arabic Social Media
The majority of research on Arabic Named Entity Recognition (NER) addresses the the task for newswire genre, where the language used is Modern Standard Arabic (MSA), however, the need to study this task in social media is becoming more vital. Social media is characterized by the use of both MSA and Dialectal Arabic (DA), with often code switching between the two language varieties. Despite some...
متن کاملUsing Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media
Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ALSINATUNA
سال: 2019
ISSN: 2503-2690,2477-5371
DOI: 10.28918/alsinatuna.v4i2.2043