AUSS: An arabic query-based update-summarization system

Autor: Muneera Alhoshan, Najwa Altwaijry

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3732-3743 (2022)

Update summarization is a relatively recent summarization task concerned with creating a short summary from news articles, assuming the user has already read a number of previous articles. It is useful for users who want to know the latest informatio

Externí odkaz: https://doaj.org/article/ab83369b9a3149e0933f53483c6cffd8

Lexi-Augmenter: Lexicon-Based Model for Tweets Sentiment Analysis

Autor: Sultan Alzahrani, Muneera Alhoshan, Manal M. Alhassoun, Saud Alashri, Sara Alghunaim, Imaan Alkhanen

Publikováno v: CSE/EUC

Sentiment analysis or opinion mining seeks to automate the detection of subjectiveness underlying a text. It is essential for many applications, such as political campaign, online marketing, and products reviews. In the past decade, a line of researc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58ce8ba627181a30962976631c86b775
https://doi.org/10.1109/cse/euc.2019.00011

Using Word N-Grams as Features in Arabic Text Classification

Autor: Itisam Hazzaa, Muneera Alhoshan, Abdulmohsen Al-Thubaity

Publikováno v: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ISBN: 9783319103884
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

The feature type (FT) chosen for extraction from the text and presented to the classification algorithm (CAL) is one of the factors affecting text classification (TC) accuracy. Character N-grams, word roots, word stems, and single words have been use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b511caba97ab391b811a1952a5584aab
https://doi.org/10.1007/978-3-319-10389-1_3