Tareq Al-Moslmi

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Sentiment Analysis is a very challenging and important task that contains natural language processing, web mining and machine learning. Up to date, few researches have been conducted on sentiment classification for Arabic languages due to the lack of resources for managing sentiments or opinions such as senti-lexicons and opinion corpora. The main obstacle(More)
Part Of Speech (POS) tagger is an essential preprocessing step in many natural language applications. In this paper, we investigate the best configuration of trigram Hidden Markov Model (HMM) Arabic POS tagger when small tagged corpus is available. With small training data, unknown word POS guessing is the main problem. This problem becomes more serious in(More)
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