Portrait of Ahmed Ashour

Ahmed Ashour

Research Software Development Engineer

Projects

During his time in ATLC, Ashour worked on different projects including:

  • Location-Based Reminders on Windows Phone 7 and Outlook.
  • Kernel Canonical Correlation Analysis (KCCA).
  • Scaling Bing Intent classifiers from en-US to ar-EG and zh-CN.
  • Implementing Bootstrapped Classification and Latent SVM.
  • Feature Engineering of the state-of-the-art Sentiment Classification.
  • Implementing the Sentiment Classification Library used by Azure Machine Learning (Azure ML).
  • Using Skip-Gram models and ESA for Topic Detection.

Publications

  • Domain Adaptation for Cross-Lingual Query Classification Using Search Query Logs and Document Classification, by Mohamed Abdel-Hady, Ahmed Ashour, and Rania Ibrahim. Published in The International Joint Conference on Neural Networks (IJCNN) by IEEE. (DOI: 10.1109/IJCNN.2013.6707061 (opens in new tab))
  • Cross-Lingual Twitter Polarity Detection via Projection Across Word-Aligned Corpora, by Mohamed Abdel-Hady, Riham Mansour, and Ahmed Ashour. Published in ICML WISDOM 2014 Conference. (Link: http://sentic.net/wisdom/2014/mansour.pdf (opens in new tab))
  • Feature Selection for Twitter Sentiment Analysis: An Experimental Study, by Riham Mansour, Mohamed Abdel-Hady, Ahmed Ashour, and Hani Amr. Accepted by the Conference on Intelligent text processing and Computational Linguistics 2015 (CICLing)

Patents