The invention discloses a research hotspot 
analysis method based on expert paper 
big data, which comprises the following steps: S1, carrying out paper search by taking a knowledge 
database as a 
data source according to keywords, and capturing 
open data such as a paper title, publication time, an author and a 
data source; S2, according to the downloaded thesis title, performing word segmentation 
processing, deleting structural vocabularies such as continuous words, mesons and pronouns, removing vocabularies of verbs and word properties of adjectives, only retaining nouns, and obtaining a hot 
word list; S3, deleting daily frequently-used words in the hot 
word list through a professional paper daily frequently-used word corpus matching and removing method to obtain a professional 
word list; S4, performing word 
frequency analysis on the professional vocabulary 
list, arranging the professional vocabulary 
list in a word frequency descending order, and selecting first hundreds of bits of datato obtain a professional vocabulary word frequency general table; and S5, adding year data, listing a word frequency 
score table according to different years on the basis of the professional vocabulary word frequency general table, and obtaining a change trend of a focus point with time as an axis.