Browsing by Author "Baly, Ramy"
Now showing items 1-7 of 7
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A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
Baly, Ramy; Badaro, Gilbert; El-Khoury, Georges; Moukalled, Rawan; Aoun, Rita; Hajj, Hazem; El-Hajj, Wassim; Habash, Nizar; Shaban, Khaled... more authors ... less authors ( 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 light lexicon-based mobile application for sentiment mining of arabic tweets
Badaro, Gilbert; Baly, Ramy; Akel, Rana; Fayad, Linda; Khairallah, Jeffrey; Hajj, Hazem; El-Hajj, Wassim; Shaban, Khaled Bashir... more authors ... less authors ( 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
Baly, Ramy; Hobeica, Roula; Hajj, Hazem; El-Hajj, Wassim; Shaban, Khaled Bashir; Al-Sallab, Ahmad... more authors ... less authors ( 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 sentiment treebank and morphologically enriched recursive deep models for effective sentiment analysis in Arabic
Baly, Ramy; Hajj, Hazem; Habash, Nizar; Shaban, Khaled Bashir; El-Hajj, Wassim ( 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). ... -
AROMA: A recursive deep learning model for opinion mining in Arabic as a low resource language
Al-Sallab, Ahmad; Baly, Ramy; Hajj, Hazem; Shaban, Khaled Bashir; El-Hajj, Wassim; Badaro, Gilbert... more authors ... less authors ( 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 ... -
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
Baly, Ramy; El-Khoury, Georges; Moukalled, Rawan; Aoun, Rita; Hajj, Hazem; Shaban, Khaled Bashir; El-Hajj, Wassim... more authors ... less authors ( 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
Al Sallab, Ahmad; Hajj, Hazem; Badaro, Gilbert; Baly, Ramy; El Hajj, Wassim; Bashir Shaban, Khaled... more authors ... less authors ( 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 ...