The invention provides an intelligent retrieval method and device for calculating
patent literature similarity based on word frequency and semanteme,
electronic equipment and a storage medium of the
electronic equipment. Bag-of-words statistics and word vector calculation are conducted on all literatures in a patent
database, and corresponding bag-of-words data and word distance data are obtained;the method comprises the following steps: establishing a model, inputting contents or examination question numbers, acquiring titles, abstracts, claims and specifications of patents to be examined from question
bank data and carrying out various combinations, performing rough selection and fine selection respectively according to a bag-of-words
algorithm and a semantic
algorithm, performing textsimilarity analysis on selected data, and performing fusion sorting on analysis results to obtain comprehensive similarity. Through duplicate checking and screening, a suspicious answer set of the to-be-checked patent is given. According to the method, the retrieval speed is increased, two rounds of screening are adopted, the first round of roughing aims at rapidly narrowing the comparison range,and the second round of fine selection aims at improving the accuracy; manpower and time can be effectively saved, a patent reviewer is helped to reduce the related patent review range, and review efficiency is improved.