Application of an Improved TF-IDF Method in Literary Text Classification

Algorithm 1

Improved TF-IDF algorithm.

	Input: Proceedings X;
	Output: matrix m;
	Step 1: Initialize TF-IDF matrix ;
	Step 2: For each word i in paper j, loop through the following process:
	Step 3: Calculate the frequency F(mi) of the word i in the subject classification;
	Step 4: Calculate the frequency F(oi) of word i classified in other subjects;
	Step 5: Calculate the frequency F(tf) of word i in all literature;
	Step 6: Update each value in matrix g by:
	Step 7: When the loop termination condition is reached, the iteration terminates.