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Multi-level fine-scaled sentiment sensing with ambivalence handling

Country : Singapore
Department : Singapore Management University
Project Title : Multi-level fine-scaled sentiment sensing with ambivalence handling
Researcher : WANG, Zhaoxia , HO, Seng-Beng , CAMBRIA, Erik
Keyword : Ambivalence sentiment handling , emotion sensing , multi-level fine-scaled sentiment analysis , sentiment strength level , social media analysis , Artificial Intelligence and Robotics , Operations Research, Systems Engineering and Industrial Engineering
Publisher : Institutional Knowledge at Singapore Management University
Year End : 2020
Identifier : https://ink.library.smu.edu.sg/sis_research/5495
Source : Research Collection School Of Information Systems
Abstract / Description :

Social media represent a rich source of information, such as critiques, feedback, and other opinions posted online by Internet users. Such information is typically a good reflection of users’ sentiments and attitudes towards various services, topics, or products. Sentiment analysis has become an increasingly important natural language processing (NLP) task to help users make sense of what is happening in the Internet blogosphere and it can be useful for companies as well as public organizations. However, most existing sentiment analysis techniques are only able to analyze data at the aggregate level, merely providing a binary classification (positive vs. negative), and are not able to generate finer characterizations of sentiments as well as emotions involved. This paper describes a new opinion analysis scheme, i.e., a multi-level fine-scaled sentiment sensing with ambivalence handling. The ambivalence handler is presented in detail along with the strength-level tune parameters for analyzing the strength and the fine-scale of both positive or negative sentiments. It is capable of drilling deeper into text in order to reveal multi-level fine-scaled sentiments as well as different types of emotions.

References

WANG, Zhaoxia,HO, Seng-Beng and CAMBRIA, Erik. (2020). Multi-level fine-scaled sentiment sensing with ambivalence handling.  Singapore: Singapore Management University.
WANG, Zhaoxia,HO, Seng-Beng and CAMBRIA, Erik. 2020. "Multi-level fine-scaled sentiment sensing with ambivalence handling".  Singapore: Singapore Management University.
WANG, Zhaoxia,HO, Seng-Beng and CAMBRIA, Erik. "Multi-level fine-scaled sentiment sensing with ambivalence handling."  Singapore: Singapore Management University, 2020. Print.
WANG, Zhaoxia,HO, Seng-Beng and CAMBRIA, Erik. Multi-level fine-scaled sentiment sensing with ambivalence handling. Singapore: Singapore Management University; 2020.

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