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Though much research has been conducted on Subjectivity and Sentiment Analysis (SSA) during the last decade, little work has fo-cused on Arabic. In this work, we focus on SSA for both Modern Standard Arabic (MSA) news articles and dialectal Arabic microblogs from Twitter. We showcase some of the challenges associated with SSA on microblogs. We adopted a(More)
Structured methods for query term replacement rely on separate estimates of term tes of replacement probabilities. Statistically significantfrequency and document frequency to compute a weight for each query term. This paper reviews prior work on structured query techniques and introduces three new variants that leverage estima improvements in retrieval(More)
Arabizi is Arabic text that is written using Latin characters. Arabizi is used to present both Modern Standard Arabic (MSA) or Arabic dialects. It is commonly used in informal settings such as social networking sites and is often with mixed with English. In this paper we address the problems of: identifying Arabizi in text and converting it to Ara-bic(More)
This paper presents a machine learning approach based on an SVM classifier coupled with preprocessing rules for cross-document named entity normalization. The classifier uses lexical, orthographic, phonetic, and morphological features. The process involves disambiguating different entities with shared name mentions and normalizing identical entities with(More)