Ambiguity Resolution in English Language for Sentiment Analysis

Today's citizens need a platform where they can register their complaints about municipal corporation. Citizens need to submit their daily complaints for municipal corporation. In a traditional system like Telephonic system for registration of complaints is a very time-consuming method. The customer has to wait until call is received by service executive. The proposed system is for the Pune Municipal Corporation (PMC) where citizens can insert query and intelligent reply is given to the citizen by short text understanding and machine learning algorithms. In the post query system analyses the sentiment of citizen by sentiment analysis. Accordingly, priorities to the given citizens on the basis of the intensity of the citizen complaint. Understanding the short text is the major challenge in the system like short texts do not follow the syntax of written language, short text does not have sufficient statistics to support for approaches like text mining, short text is ambiguous and noisy. In this system to understand natural language semantic knowledge is provided by the knowledgebase. This system will help many organizations to ensure quality service provision and customer satisfaction with less human efforts.