Name
Playground
About
FAQ
GitHub
Playground
Shortest Path Finder
Community Detector
Connected Papers
Author Trending
Daniel P. Kennedy
Dan Graur
Barbara Aquilani
Peter Claes
Abu Tayab Noman
Maximilian Dürr
Jhonathan Pinzon
Liangliang Shang
Chen Ma
Richard Picard
Home
/
Author
/
RAMY BALY
Author Info
Open Visualization
Name
Affiliation
Papers
RAMY BALY
American University of Beirut
20
Collaborators
Citations
PageRank
43
86
8.07
Referers
Referees
References
183
283
184
Search Limit
100
283
Publications (20 rows)
Collaborators (43 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
We Can Detect Your Bias: Predicting the Political Ideology of News Articles.
0
0.34
2020
Tanbih: Get To Know What You Are Reading
0
0.34
2019
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets.
0
0.34
2019
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums.
3
0.36
2019
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection.
0
0.34
2019
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media.
4
0.38
2019
A Survey of Opinion Mining in Arabic: A Comprehensive System Perspective Covering Challenges and Advances in Tools, Resources, Models, Applications, and Visualizations
1
0.34
2019
Automatic Stance Detection Using End-to-End Memory Networks.
9
0.47
2018
Integrating Stance Detection and Fact Checking in a Unified Corpus.
4
0.39
2018
Predicting Factuality of Reporting and Bias of News Media Sources.
4
0.38
2018
A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic
6
0.40
2017
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models.
0
0.34
2017
AROMA: A Recursive Deep Learning Model for Opinion Mining in Arabic as a Low Resource Language
7
0.43
2017
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects.
2
0.37
2017
OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model.
4
0.37
2017
A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis.
1
0.35
2016
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings.
0
0.34
2016
Deep Learning Models for Sentiment Analysis in Arabic
12
0.50
2015
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets
4
0.38
2015
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining
25
0.93
2014
1