ONTOLOGY BASED ASPECT LEVEL OPINION MINING
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 6
Abstract
In recent years, opinion mining has been investigated mainly in three level of granularity (document, sentence or aspect(feature)). However both document and sentence level analysis do not discover what exactly customers liked or not. Due to very huge web size and growth rate, scalable and practical solutions are required. Studying opinion text, mainly aspect level is challenging. In our project, a domain ontology has been introduced, which defines a space of hotel aspects, thus makes it possible for an hotel to be classified and scored by commonly accepted aspects. My approach thus enhances the user experience to search a hotel and compare it with other hotels aspect by aspect. The evaluation is based on the hotel reviews collected from traveler guide sites such as tripadvisor and makemytrip.The basic idea of our approach is to capture the relationships among aspects, associations between aspects and their expressions of opinion. More specifically we utilize the domain ontology to construct a specific knowledge structure because it can clearly represent the certain relationships among domain concepts.
Authors and Affiliations
Ms. Meleesa Alfonso
Keywords
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- EP ID EP164573
- DOI 10.5281/zenodo.56012
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