コード例 #1
0
ファイル: Tree.py プロジェクト: Pariyawit/LiRE
	def __init__(self):
		self.childlist = {}
		self.parentlist = {}
		self.categorylist = Classification.getclassificationrule()
		self.childlist['x'] = []
		for catnode in self.categorylist:
			if(Classification.isCat(catnode)):
				self.parentlist[catnode] = 'x'
				self.childlist['x'].append(catnode)
				self.childlist[catnode] = []
			elif(Classification.isSubcat(catnode)):
				self.parentnode = Classification.subcatToCat(catnode)
				self.parentlist[catnode] = self.parentnode
				self.childlist[self.parentnode].append(catnode) 
コード例 #2
0
ファイル: distinctness.py プロジェクト: Pariyawit/LiRE
import BaseXClient
import Classification
import Tree
import math
import xml.dom.minidom as xmldom
from array import *
from collections import defaultdict

try:
	session1 = BaseXClient.Session('localhost',1984,'admin','admin')
	session2 = BaseXClient.Session('localhost',1984,'admin','admin')
	session1.execute('open keywordXML')
	session2.execute('create db distinctness')

	categorylist = Classification.getclassificationrule()

	# Prepare dictionaries
	kf = {}
	siblingcount = {}
	siblingkeyword = {}
	distinctness = {}

	# Create a Category Tree. this will be later used for finding sibling of the category.
	cattree = Tree.Categorytree()

	# Count the amount of sibling categories for each category
	for cat in categorylist:
		siblingcount[cat] = len(cattree.getSibling(cat))

	# Calculate keyword frequency in a category, store it to the kf table