Contradiction Analysis in Text Mining: A Fuzzy Logic Approach

Text is most used means for information exchange in today’s web dominated world. Text Mining also known as text data mining, an equivalent of text analytic, means the process of retrieving high quality information from text. Statistical pattern learning helps to devise patterns and trends through which high quality information is derived. Text mining accomplishes the task of structuring the input text, and then gaining patterns from it and finally output evaluation and interpretation. High quality connotes to some combination of relevance, novelty and interestingness. Contradiction analysis, an emerging research field in subjective analysis, stands for finding similarity or contradiction or no-relation between given any two documents. Thus it helps in the task of document clustering and Auto-Summarization process in text mining. Fuzziness is inherent in contradiction analysis and as such, Fuzzy Logic, a soft-computing tool to analyze the imprecise, vague and uncertainly information, helps to analyze the level and nature of contradiction in documents.