Browsing by Author "El-Hajj, Wassim"
Now showing items 1-14 of 14
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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 ... -
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
( Elsevier , 2022 , Article)Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ... -
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 ... -
A meta-framework for modeling the human reading process in sentiment analysis
( Association for Computing Machinery , 2016 , Article)This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most ... -
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 ... -
A sentiment treebank and morphologically enriched recursive deep models for effective sentiment analysis in Arabic
( Association for Computing Machinery , 2017 , Article)Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically rich languages (MRL). ... -
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 ... -
AROMA: A recursive deep learning model for opinion mining in Arabic as a low resource language
( Association for Computing Machinery , 2017 , Article Review)While research on English opinion mining has already achieved significant progress and success, work on Arabic opinion mining is still lagging. This is mainly due to the relative recency of research efforts in developing ... -
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 ... -
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, ... -
Deep learning models for sentiment analysis in arabic
( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three are based on Deep Belief Networks and Deep Auto Encoders, where the input ... -
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 ... -
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 ...
