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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 ...
QU at TREC-2015: Building Real-Time Systems for Tweet Filtering and Question Answering
(
National Institute of Standards and Technology (NIST)
, 2015 , Conference Paper)
This paper presents our participation in the microblog and LiveQA tracks in TREC-2015. Both tracks required building a "real-time" system that monitors a data stream and responds to users' information needs in real-time. ...