• Sachin Patel
• Dr Chandikaditya Kumawat
• Dr Suresh Jain

In this paper, we present an approach of Opinion Mining by combining Data structure storage techniques and Ontology Concept to improve understanding about a Sentence/ statement. In this Method, we applying classification task to focus on forming a right positive and left negative subtree and to calculate its positive or negative swing. It serves many Purposes such as e.g., opinion mining, Inclination and proper designing. Most Existing techniques utilize a list of opinion (also called opinion Lexicon). Opinion words are of both Characteristics (positive or negative). By using binary search technique we have developed Unique onto trees that utilize tree structure to improve feature ranking. In the end, we have formed a swing table that projects the inclination of any statement/opinion or passage.

Opinion mining, Feature Ranking, BSOT, RPOT, LPOT, Swing Table

"Swing Detection Using Onto Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.539-544, July-2018, Available :http://www.jetir.org/papers/JETIR1807085.pdf

"Swing Detection Using Onto Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp539-544, July-2018, Available at : http://www.jetir.org/papers/JETIR1807085.pdf