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A multiresolution approach to Recommender systems
(
Association for Computing Machinery, Inc
, 2014 , Conference Paper)
Recommender systems face performance challenges when dealing with sparse data. This paper addresses these challenges and proposes the use of Harmonic Analysis. The method provides a novel approach to the user-item matrix ...
Recommender systems using harmonic analysis
(
IEEE Computer Society
, 2015 , Conference Paper)
Recommender systems provide recommendations on variety of personal activities or relevant items of interest. They can play a significant role for E-commerce and in daily personal decisions. However, existing recommender ...
Securing Smart Grid Communication using Ethereum Smart Contracts
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Smart grids are being continually adopted as a replacement of the traditional power grid systems to ensure safe, efficient, and cost-effective power distribution. The smart grid is a heterogeneous communication network ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
Arabic corpora for credibility analysis
(
European Language Resources Association (ELRA)
, 2016 , Conference Paper)
A significant portion of data generated on blogging and microblogging websites is non-credible as shown in many recent studies. To filter out such non-credible information, machine learning can be deployed to build automatic ...
CAT: Credibility Analysis of Arabic Content on Twitter
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
Hulmona ( حلمنا ): The universal language model in arabic
(
Association for Computational Linguistics (ACL)
, 2019 , Conference Paper)
Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
A light lexicon-based mobile application for sentiment mining of arabic tweets
(
Association for Computational Linguistics (ACL)
, 2015 , Conference Paper)
Most advanced mobile applications require server-based and communication. This often causes additional energy consumption on the already energy-limited mobile devices. In this work, we provide to address these limitations ...