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Sentiment miner: A prototype for sentiment analysis of unstructured data and text

This paper presents a method to apply opinion mining on unstructured text for polarity extraction and classification at sentence level within a document. The generation of massive unstructured information about individuals makes the task of progress tracking and monitoring almost impracticable which results in the quest to find some way for automated text analysis and tagging. The proposed solution in this work is the development of a System (Sentiment Miner). It will provide features to process and classify text files (reviews and appraisals) for opinion mining at sentence level using Natural language Processing techniques and Opinion Mining algorithms. The prototype of a final product; a Semantic Search Engine will facilitate in document retrieval for analysis whenever required.