ملف الباحث

Mahmoud Al‐Ayyoub

5 أوراق في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Scalable multi-label Arabic text classification

    2015

    Multi-label text classification (MTC) is a natural extension of the traditional text classification (TC) in which a possibly large set of labels can be assigned to each document. The dimensionality of labels makes MTC difficult …

  2. Hierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews

    2016 · International Journal of Advanced Computer Science and Applications

    Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. …

  3. Atar: Attention-based LSTM for Arabizi transliteration

    2021 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

    A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, …

  4. Sarcasm Detection and Quantification in Arabic Tweets

    2021 · 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)

    The role of predicting sarcasm in the text is known as automatic sarcasm detection. Given the prevalence and challenges of sarcasm in sentiment-bearing text, this is a critical phase in most sentiment analysis tasks. With …

  5. A new collaborative filtering recommendation algorithm based on dimensionality reduction and clustering techniques

    2018

    With the advent and explosive growth of the Web over the past decade, recommender systems have become at the heart of the business strategies of e-commerce and Internet-based companies such as Google, YouTube, Facebook, Netflix, …