mirror of
https://github.com/fxsjy/jieba.git
synced 2025-07-24 00:00:05 +08:00
83 lines
2.5 KiB
Python
Executable File
83 lines
2.5 KiB
Python
Executable File
#encoding=utf-8
|
|
import jieba
|
|
import os
|
|
try:
|
|
from analyzer import ChineseAnalyzer
|
|
except ImportError:
|
|
pass
|
|
|
|
_curpath = os.path.normpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
|
|
abs_path = os.path.join(_curpath, "idf.txt")
|
|
|
|
STOP_WORDS = set((
|
|
"the","of","is","and","to","in","that","we","for","an","are",
|
|
"by","be","as","on","with","can","if","from","which","you","it",
|
|
"this","then","at","have","all","not","one","has","or","that"
|
|
))
|
|
|
|
class IDFLoader:
|
|
def __init__(self):
|
|
self.path = ""
|
|
self.idf_freq = {}
|
|
self.median_idf = 0.0
|
|
|
|
def set_new_path(self, new_idf_path):
|
|
if self.path != new_idf_path:
|
|
content = open(new_idf_path, 'rb').read().decode('utf-8')
|
|
idf_freq = {}
|
|
lines = content.split('\n')
|
|
if lines and not lines[-1]:
|
|
lines.pop(-1)
|
|
for line in lines:
|
|
word, freq = line.split(' ')
|
|
idf_freq[word] = float(freq)
|
|
median_idf = sorted(idf_freq.values())[len(idf_freq)/2]
|
|
self.idf_freq = idf_freq
|
|
self.median_idf = median_idf
|
|
self.path = new_idf_path
|
|
|
|
def get_idf(self):
|
|
return self.idf_freq, self.median_idf
|
|
|
|
idf_loader = IDFLoader()
|
|
idf_loader.set_new_path(abs_path)
|
|
|
|
def set_idf_path(idf_path):
|
|
new_abs_path = os.path.normpath(os.path.join(os.getcwd(), idf_path))
|
|
if not os.path.exists(new_abs_path):
|
|
raise Exception("jieba: path does not exist: " + new_abs_path)
|
|
idf_loader.set_new_path(new_abs_path)
|
|
|
|
def set_stop_words(stop_words_path):
|
|
global STOP_WORDS
|
|
abs_path = os.path.normpath(os.path.join(os.getcwd(), stop_words_path))
|
|
if not os.path.exists(abs_path):
|
|
raise Exception("jieba: path does not exist: " + abs_path)
|
|
content = open(abs_path,'rb').read().decode('utf-8')
|
|
lines = content.split('\n')
|
|
for line in lines:
|
|
STOP_WORDS.add(line)
|
|
|
|
def extract_tags(sentence, topK=20):
|
|
global STOP_WORDS
|
|
|
|
idf_freq, median_idf = idf_loader.get_idf()
|
|
|
|
words = jieba.cut(sentence)
|
|
freq = {}
|
|
for w in words:
|
|
if len(w.strip()) < 2:
|
|
continue
|
|
if w.lower() in STOP_WORDS:
|
|
continue
|
|
freq[w] = freq.get(w, 0.0) + 1.0
|
|
total = sum(freq.values())
|
|
freq = [(k,v/total) for k,v in freq.iteritems()]
|
|
|
|
tf_idf_list = [(v*idf_freq.get(k,median_idf), k) for k,v in freq]
|
|
st_list = sorted(tf_idf_list, reverse=True)
|
|
|
|
top_tuples = st_list[:topK]
|
|
tags = [a[1] for a in top_tuples]
|
|
return tags
|