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Ontology-Based Opinion Mining
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Author(s): Chitra Jalota (Manav Rachna International Institute of Research and Studies, India)and Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India)
Copyright: 2019
Pages: 20
Source title:
Extracting Knowledge From Opinion Mining
Source Author(s)/Editor(s): Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India)and Neha Gupta (Manav Rachna International Institute of Research and Studies, India)
DOI: 10.4018/978-1-5225-6117-0.ch005
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Abstract
E-commerce business is very popular as a large amount of data is available on the internet in the form of unstructured data. To find new market trends and insight, it is very important for an organization to track the customers' opinions/reviews on a regular basis. Reviews available on the internet are very scattered and heterogeneous (i.e., structured as well as unstructured form of data). A good decision is always based on the quality of information within a specified period of time. Ontology is an explicit detailed study of concepts. The word ontology is borrowed from philosophy. It can also be defined as systematic maintenance of information about the things which already exist. In computer science, it could be said that it is a formal representation of knowledge with the help of a fixed set of believed concepts and the relationship between those concepts.
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