Semantic Analysis of Public Health Medical Issues Based on Convolution Neural Networks

Algorithm 3

Manually build a dictionary for semantic analysis.

	Input: Public health issues training and test set
	Output: The test set predicts the results
	Begin
(1)	Read the training set and test set
(2)	Set jieba external library stop words and custom word sets
(3)	Part words and clean training and test sets based on stop words and custom dictionaries
(4)	Get the thesaurus set for the six categories
	for six categories:
	define the theology list Xn
	end for
	for all data for a single category:
	if the corresponding category label is 1:
	add the phrases for the row data to list Xn
	end if
	end for
(5)	Clear duplicate words from Xn
(6)	Predict the test set and get performance metrics
	End