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Semantic Affect Sensing in User Generated Contents: An Intelligent Machine Informatics to Audit Human Sentiments

Opinion Mining is an important research area in text mining domain. Modern enterprises host text mining software’s that transform unstructured text into structured data. These software’s extract entities such as people, places, companies and products. Based on wiki survey, text is considered as an unstructured data which comprises somewhere between 31% to 85% of what is stored in any given enterprise. Opinion mining is the process of extraction of sentiments from human authored documents from different written online sources. This paper describes the different opinion mining techniques, importance of opinion mining, issues, applications and also proposes a structural framework for mining opinions from text documents.