ONTOLOGY BASED ASPECT LEVEL OPINION MINING

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

Related Articles

COLOR IMAGE SEGMENTATION BASED ON MEAN SHIFT AND NORMALIZED CUTS

An approach for Image segmentation is proposed based on mean shift algorithm and normalized cuts algorithm and its application’s implementation is proposed. The normalized cuts algorithm gives good accuracy and better...

 COMPARATIVE STUDY OF TERRAIN CHARACTERIZATION USING DEM FROM TWO DIFFERENT SOURCES (SRTM & ASTER)

 Remote Sensing and GIS recently had been extensively used in various spatial analyses for different parameters to understand the spatial characteristic to be used in decision making. Remote sensing and GIS provides...

 RFID Technology and its Application Areas: A Review Paper

 Radio frequency identification is a contactless technique that uses the radio waves to identify the object uniquely. RFID Tag and Reader are major two parts of the RFID System. Tags are used to store the informati...

 COMPARATIVE STUDY OF THE METHODS USING HAAR-LIKE FEATURES

 Object detection is a topic which takes a great extent in the field of computer vision. Is the first step in many visual processing systems like face recognition, encoding recognition and lip reading. The detectio...

 CLUSTER BASED BOOSTING TECHNIQUES FOR ACCURACY PREDICTION

 In recent years encroachment of social media in human life is inexplicable. The greatest and most significant issue in latest technology is the fast retrieval of information from large databases. To overcome this,...

Download PDF file
  • EP ID EP164573
  • DOI 10.5281/zenodo.56012
  • Views 122
  • Downloads 0

How To Cite

Ms. Meleesa Alfonso (30). ONTOLOGY BASED ASPECT LEVEL OPINION MINING. International Journal of Engineering Sciences & Research Technology, 5(6), 797-804. https://europub.co.uk/articles/-A-164573