Sentiment prediction based on valence and arousal using concept search engine

In order to predict the intensity of valence and arousal of the terms contained in a blog post we use the text mining subfield such as emotion mining. It is used to infer the opinion or emotion or sentiment and represent the inference result in the form of ordinal states. Here the content of the blog post is first analyzed to identify the relevant content using concept search engine(CSE) and topic search engine and then based on the content the opinion is inferred using emotion detection engine and emotion prediction engine. The work will be represented in the form of ordinal state because that will give a clear and indepth analysis of opinion extracted from blog post.