cid f8837c2102350b4062201e442e7841d53b21d5e12d3d14b3cb14658bb2c6444a · original · open access · via openalex
Title: SLSA: A Sentiment Lexicon for Standard Arabic Authors: Ramy Eskander; Owen Rambow Venue: Conference on Empirical Methods in Natural Language Processing (EMNLP) Year: 2015 Canonical: doi:10.18653/v1/d15-1304 URL: https://doi.org/10.18653/v1/d15-1304 Collector: openalex OA: true ABSTRACT Sentiment analysis has been a major area of interest, for which the existence of highquality resources is crucial.In Arabic, there is a reasonable number of sentiment lexicons but with major deficiencies.The paper presents a large-scale Standard Arabic Sentiment Lexicon (SLSA) that is publicly available for free and avoids the deficiencies in the current resources.SLSA has the highest up-to-date reported coverage.The construction of SLSA is based on linking the lexicon of AraMorph with Sen-tiWordNet along with a few heuristics and powerful back-off.SLSA shows a relative improvement of 37.8% over a state-of-theart lexicon when tested for accuracy.It also outperforms it by an absolute 3.5% of F1-score when tested for sentiment analysis.