NSAR is the first pubicaly available Arabic review corpus annotated with negation and speculation. It includes around 3K review sentences from three well-known Arabic corpora. These sentences cover review for various topics, such as products and resturants. The below table show the distribution of the sentences for each topic.

Webanno tool is used for the annotation process where 29% and 4% of the corpus includes negated and speculated sentences respectively. The annotated sentences are written in TSV file format as in the corpus directory.

To read the annotated sentences, there is a need to install web-anno-tsv 0.0.1 python package using pip install web-anno-tsv. This is a sample python script to read LABR TSV file.

from web_anno_tsv import open_web_anno_tsv

labr = 'corpus/LABR.tsv'

with open_web_anno_tsv(labr) as f:
    for i, sentence in enumerate(f):
        print(f"Sentence {i}:", sentence.text)
        for j, annotation in enumerate(sentence.annotations):
            print(f'\tAnnotation {j}:')
            print('\t\tText:', annotation.text)
            print("\t\tLabel:", annotation.label)

1. Mahany, A.; Khaled, H.; Elmitwally, N.S.; Aljohani, N.; Ghoniemy, S. Annotated Corpus with Negation and Speculation in Arabic Review Domain: NSAR. IJACSA. 2022, 13, 7. https://doi.org/10.14569/IJACSA.2022.0130706
2. Mahany, A.; Khaled, H.; Elmitwally, N.S.; Aljohani, N.; Ghoniemy, S. Negation and Speculation in NLP: A Survey, Corpora, Methods, and Applications. Appl. Sci. 2022, 12, 5209. https://doi.org/10.3390/app12105209