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Query-based answer summarization is the process by which the answer from structured information like books is extracted in a concise fashion based on the given query, with minimal loss of information. Whether an abstractive or extractive answer summarization technique gets executed automatically depends on the information that is being extracted with respect to the question raised. The lexical relationship between sentence-to-sentence and query-to-sentence reduces the conflict between answer summary and user query and also improves the quality of the answer summary. For the fastest content retrieval from the structured information, book, our system finds the semantic and syntactic similarity between the subtitles of each chapter and the query. This work uses techniques of the Natural Language Processing paradigm along with some of the advanced Deep Learning techniques such as attention …