Design of an Offical Document Multi Machine Retrieval System based on NLP

Aiming at the problems of insufficient file name retrieval information, large internal retrieval overhead, slow speed and low sharing rate of documents in the existing stand-alone document retrieval software, this paper uses NLP (natural language processing) technology to provide a new system design method for multi-machine retrieval and accurate query of office documents. This method is realized by uploading documents, document text analysis and processing, search engine construction, similar document recommendation, result preview and verification, retrieval result output and so on. This paper will elaborate from five main aspects: the overall system flow, database design, text analysis and processing module design, text retrieval module design and client design.