Name: Negation and Speculation in Arabic Review (NSAR)
Description: The Negation and Speculation Arabic Review (NSAR) corpus consists of 3K randomly selected review sentences from three well-known and benchmarked Arabic corpora: Large Scale Arabic Book Review (LABR), Large Arabic Multi-domain Resources (LAMR), and Multi-domain Arabic Sentiment Corpus (MASC). It contains reviews from different categories, including books, hotels, restaurants, and other products written in various Arabic dialects. The negation and speculation keywords have been annotated along with their linguistic scope based on the annotation guidelines reviewed by an expert linguist.
Provider: Ain Shams University
Paper Title: Annotated Corpus with Negation and Speculation in Arabic Review Domain: NSAR
Tasks: sentiment analysis, information retrieval, review classification, Negation and Speculation Detection
Venue Name: International Journal of Advanced Computer Science and Applications
Authors: Ahmed Mahany, Heba Khaled, Nouh Sabri Elmitwally, Naif Aljohani, Said Ghoniemy
Abstract: Negation and speculation detection are critical for
  Natural Language Processing (NLP) tasks, such as sentiment
  analysis, information retrieval, and machine translation. This
  paper presents the first Arabic corpus in the review domain
  annotated with negation and speculation. The Negation and
  Speculation Arabic Review (NSAR) corpus consists of 3K
  randomly selected review sentences from three well-known and
  benchmarked Arabic corpora. It contains reviews from different
  categories, including books, hotels, restaurants, and other
  products written in various Arabic dialects. The negation and
  speculation keywords have been annotated along with their
  linguistic scope based on the annotation guidelines reviewed by
  an expert linguist. The inter-annotator agreement between two
  independent annotators, Arabic native speakers, is measured
  using the Cohen’s Kappa coefficients with values of 95 and 80 for
  negation and speculation, respectively. Furthermore, 29% of this
  corpus includes at least one negation instance, while only 4% of
  this corpus contains speculative content. Therefore, the Arabic
  reviews focus more on negation structures rather than
  speculation. This corpus will be available for the Arabic research
  community to handle these critical phenomena.