Abstract

In this paper we present an hybrid approach for Ontology designing by combining Data structure storage techniques and Ontology characteristics to improve understanding about a passages/statement or opinion. By applying classification task we focus on forming a right positive and left negative sub tree 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.

Keyword

Ontology, Onto Tree, Information Science, Data Structure, Opinion mining, Feature Ranking,BSOT, RPOT, LPOT, Swing Table.

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