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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 ...
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 ...
Methodical evaluation of Arabic word embeddings
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ...
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, ...
Digitization and preservation of cultural heritage products
(
Springer New York LLC
, 2017 , Conference Paper)
Cultural heritage encompasses various aspects of a nation's history. Cultural heritage artifacts are considered as priceless items that need special care. Since the wide adoption of new digital technologies, documenting ...
Designing a competency framework for graduate levels in computing sciences: The middle-east context
(
Springer Verlag
, 2017 , Conference Paper)
This paper focuses on the current research work done within the Pro-Skima project (2015-2018) which aims at providing a suitable method to evolve classical Information Technology Master graduate levels towards some teaching ...
Social-sensor cloud service for scene reconstruction
(
Springer Verlag
, 2017 , Conference Paper)
We propose a new social-sensor cloud services selection framework for scene reconstruction. The proposed research represents social media data streams, i.e., images' metadata and related posted information, as social sensor ...
Probabilistic qualitative preference matching in long-term IaaS composition
(
Springer Verlag
, 2017 , Conference Paper)
We propose a qualitative similarity measure approach to select an optimal set of probabilistic Infrastructure-as-a-Service (IaaS) requests according to the provider's probabilistic preferences over a long-term period. The ...
Exploiting Live Feedback for Tweet Real-time Push Notifications
(
National Institute of Standards and Technology (NIST)
, 2017 , Conference Paper)
Twitter has been developed as an immense information creation and sharing network through which users post diverse information. Although a user would regularly check her Twitter timeline to stay up-to-date on her topics ...
The many benefits of annotator rationales for relevance judgments
(
International Joint Conferences on Artificial Intelligence
, 2017 , Conference Paper)
When collecting subjective human ratings of items, it can be difficult to measure and enforce data quality due to task subjectivity and lack of insight into how judges arrive at each rating decision. To address this, we ...