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.