Sentiment analysis is the process of using natural language processing, computational linguistics, and other text analysis techniques to identify and extract subjective information in …
Social media attracts a lot of users around the world. Many reasons drive people to use social media sites such as expressing opinions and ideas, displaying their diaries and …
Recently, extensive studies and research in the Arabic Natural Language Processing (ANLP) field have been conducted for text classification and sentiment analysis. Moreover …
S Jaballi, S Zrigui, MA Sghaier, D Berchech… - International Conference …, 2022 - Springer
The presence of the dialect in the Arabic texts made Arabic sentiment analysis (ASA) a challenging issue, owing to it usually does not follow specific rules in writing systems …
A Messaoudi, H Haddad, C Fourati, MBH Hmida… - Procedia Computer …, 2021 - Elsevier
Recognize automatically the spontaneous Human speech and transcribe it into text is becoming an important task. However, freely available models are rare especially for under …
MA Jerbi, H Achour, E Souissi - … Processing: From Theory to Practice: 7th …, 2019 - Springer
With the increasing use of social networks and the multilingualism that characterizes the Internet in general and the social media in particular, an increasing number of recent …
Sentiment analysis (SA) is a multidisciplinary field that aims to predict sentiment tone or attitude expressed in a text, SA using social media data has become a popular topic …
AA Al Shamsi, S Abdallah - … and Intelligent Systems: ICETIS 2021 Volume …, 2022 - Springer
People in the Arab world prefer to use their dialects in writing while using social media sites which results in generating a significant amount of texts. Sentiment analysis in texts is one of …
Nowadays, Sentiment Analysis (SA) represents a big chunk of Natural Language Processing (NLP) problems. The latter makes it possible to assign feelings and polarity to …