TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes)

Algorithm 1

Cue phrases scan.

(1)	Data
(2)	D: Headings Dictionary
(3)	Input
(4)	RE: Refined Enumerate
(5)	Output
(6)	D is passed to Algorithm 2
(7)	for all (lineIndex, line) RE do
(8)	words tokenization of line
(9)	create bigrams_list of words
(10)	for all (wordi, wordi+1) bigrams_list do
(11)	stemming of (wordi, wordi+1)
(12)	match them to CuePhrases_table
(13)	if matches then
(14)	get unifiedHeading
(15)	record lineIndex
(16)	if unifiedHeading D then
(17)	add {unifiedHeading:lineIndex} to D
(18)	end if
(19)	else
(20)	continue
(21)	end if
(22)	end for
(23)	end for