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Imperfect look at possible applications of Web Based Sentiment Engine MECB 2012.
Sentiment analysis involves classifying opinions from text as "positive", "negative" or “neutral. Its purpose and benefit is to assist in extracting valuable information and insight from copious amounts of unstructured data. This proposed system will have the capability to determine online sentiment on current affairs for the purpose of analysis and prediction. For the sentiment analysis a cluster-method approach is recommended, which is a recent advancement in this area. Various APIs will assist in extracting other data such as location and time. Evaluation of system through the use of the Pang et al movie review data sets is recommended to validate basic functionality and real life data in the form of the 2008 US presidential race data to evaluate all functionality of the system. Multiple industries are identified as potential users of this system from marketing companies to hotels adding to our benefit in the commercialisation potential of the system.