A review corpus annotated for negation, speculation and their scope
نویسندگان
چکیده
This paper presents a freely available resource for research on handling negation and speculation in review texts. The SFU Review Corpus, consisting of 400 documents of movie, book, and consumer product reviews, was annotated at the token level with negative and speculative keywords and at the sentence level with their linguistic scope. We report statistics on corpus size and the consistency of annotations. The annotated corpus will be useful in many applications, such as document mining and sentiment analysis.
منابع مشابه
Detecting Negated and Uncertain Information in Biomedical and Review Texts
The thesis proposed here intends to assist Natural Language Processing tasks through the negation and speculation detection. We are focusing on the biomedical and review domain in which it has been proven that the treatment of these language forms helps to improve the performance of the main task. In the biomedical domain, the existence of a corpus annotated for negation, speculation and their ...
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