Overview

API for Ontology based Sentiment Analysis

Sentiment Analysis shows the connection between feelings, attitudes, emotions and opinions. It is of utmost importance that proper background check is done before making decisions; hence the easiest method would be to look at an analysis done based on existing sources. There are systems that already provide an analysis based on sentiments, however it is only to a certain extent than any system could perform in terms of efficiency and accuracy. This research is done with an objective of providing an accurate and highly efficient system to handle large reviews while returning a detailed analysis. Natural Language Processing (NLP) converts raw reviews into machine language which will then be processed under Sub-Topic Extraction to identify keywords. Ontology contains the properties of concepts in a domain interconnected with relationships. Sentiment analysis determines the sentimental score that can be given to the input source by taking feelings into consideration.

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