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-# sentiment-analysis-arabic
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+# sentiment-analysis-arabic
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+A deep learning (LSTM) sentiment analysis project to determine positive/negative sentiment in social media content. This project makes use of Arabic word embeddings (https://github.com/iamaziz/ar-embeddings) [1] and a dataset of 2000 Twitter posts (https://archive.ics.uci.edu/ml/datasets/Twitter+Data+set+for+Arabic+Sentiment+Analysis) [2].
+
+- 1. A. Altowayan and L. Tao "Word Embeddings for Arabic Sentiment Analysis", IEEE BigData 2016 Workshop
+- 1. Abdulla N. A., Mahyoub N. A., Shehab M., Al-Ayyoub M.,“Arabic Sentiment Analysis: Corpus-based and Lexicon-based”,IEEE conference on Applied Electrical Engineering and Computing Technologies (AEECT 2013),December 3-12, 2013, Amman, Jordan. (Accepted for Publication)