This invention relates to the field of bid document management technology, and in particular to an automatic bid document review method and
system based on
natural language processing. The method includes: identifying target sections; determining historical performance and financial information; judging whether false performance exists; analyzing the complete sentences containing target keywords; calculating material scores; determining price deviation; and determining the review result. This invention achieves multi-dimensional and comprehensive review of bid documents by intelligently analyzing multiple sections such as qualifications, risks, materials, and pricing. This effectively improves the comprehensiveness and depth of the review. Utilizing
natural language processing technology, it can accurately identify and extract key information from bid documents, overcoming the subjectivity and limitations of traditional manual review.
Quantitative assessment based on
risk level significantly improves the accuracy and relevance of
risk identification. By comprehensively weighing material scores and price deviation, it significantly improves review efficiency.