A Novel Approach Towards Opinion Mining to Structurize Online Reviews for Tourism Using Twitter Data Set.

Computer Engineering

The tourism industry in any location is highly dependent on previous visitors opinions and their perceptions. However, due to the large amount of available opinion text, tourists are often overwhelmed with information. As a consequence, tourists find it extremely difficult to obtain useful opinions to make a decision about destinations. Opinion mining is a type of natural language processing for tracking the mood of the public about a particular tourist place. Opinion mining involves building a system to collect and categorize opinions about a tourist place. The existing systems does not provides a semantic analysis for user’s tweets. Thus we can improve a scoring system by applying conjunctions rules, that may be helpful to analyze the information in the form of the number of tweets where opinions are highly unstructured.

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