Using Word Embedding and Ensemble Learning for Highly Imbalanced Data Sentiment Analysis in Short Arabic Text

Sadam Al-Azani, El-Sayed M. El-Alfy. Using Word Embedding and Ensemble Learning for Highly Imbalanced Data Sentiment Analysis in Short Arabic Text. In Elhadi M. Shakshuki, editor, The 8th International Conference on Ambient Systems, Networks and Technologies (ANT 2017) / The 7th International Conference on Sustainable Energy Information Technology (SEIT 2017), 16-19 May 2017, Madeira, Portugal. Volume 109 of Procedia Computer Science, pages 359-366, Elsevier, 2017. [doi]

Abstract

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