Year: 2022
Type: conference-paper
Abstract: Emoji (the digital pictograms) are crucial features for textual sentiment analysis.However, analysing the sentiment roles of emoji is very complex.This is due to its dependency on different factors, such as textual context, cultural perspective, interlocutor's personal traits, interlocutors' relationships or a platforms' functional features.This work introduces an approach to analysing the sentiment effects of emoji as textual features.Using an Arabic dataset as a benchmark, our results confirm the borrowed argument that each emoji has three different norms of sentiment role (negative, neutral or positive).Therefore, an emoji can play different sentiment roles depending upon context.It can behave as an emphasizer, an indicator, a mitigator, a reverser or a trigger of either negative or positive sentiment within a text.In addition, an emoji may have neutral effect (i.e., no effect) on the sentiment of the text.
Institutions: University of Birmingham, Jazan University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4385572847