This paper presents a survey on the role of negation in sentiment analysis. Negation is a very common linguistic construction that affects polarity and, therefore, needs to be taken into consideration in sentiment analysis. We will present various computational approaches modeling negation in sentiment analysis. We will, in particular, focus on aspects, such as level of representation used for sentiment analysis, negation word detection and scope of negation. We will also discuss limits and challenges of negation modeling on that task.
A survey on the role of negation in sentiment analysis was done by REF stating that negation expressions are ambiguous i.e. in some contexts do not function as a negation and, therefore, need to be disambiguated.
A survey on the role of negation in sentiment analysis
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Computer Science