Python 词干处理算法
在自然语言处理领域,我们会遇到多个单词具有共同的词根的情况。例如,agree、agreeing和agreeable这三个单词有相同的词根agree。任何涉及这些单词的搜索应将它们视为相同的词根。因此,将所有单词连接到它们的词根变得很重要。NLTK库有方法可以完成这种连接,并输出显示词根词。
nltk中有三个最常用的词干处理算法。它们的结果略有不同。下面的示例展示了使用这三种词干处理算法及其结果。
import nltk
from nltk.stem.porter import PorterStemmer
from nltk.stem.lancaster import LancasterStemmer
from nltk.stem import SnowballStemmer
porter_stemmer = PorterStemmer()
lanca_stemmer = LancasterStemmer()
sb_stemmer = SnowballStemmer("english",)
word_data = "Aging head of famous crime family decides to transfer his position to one of his subalterns"
# First Word tokenization
nltk_tokens = nltk.word_tokenize(word_data)
#Next find the roots of the word
print '***PorterStemmer****\n'
for w_port in nltk_tokens:
print "Actual: %s || Stem: %s" % (w_port,porter_stemmer.stem(w_port))
print '\n***LancasterStemmer****\n'
for w_lanca in nltk_tokens:
print "Actual: %s || Stem: %s" % (w_lanca,lanca_stemmer.stem(w_lanca))
print '\n***SnowballStemmer****\n'
for w_snow in nltk_tokens:
print "Actual: %s || Stem: %s" % (w_snow,sb_stemmer.stem(w_snow))
运行上面的程序,我们会得到以下输出 –
***PorterStemmer****
Actual: Aging || Stem: age
Actual: head || Stem: head
Actual: of || Stem: of
Actual: famous || Stem: famou
Actual: crime || Stem: crime
Actual: family || Stem: famili
Actual: decides || Stem: decid
Actual: to || Stem: to
Actual: transfer || Stem: transfer
Actual: his || Stem: hi
Actual: position || Stem: posit
Actual: to || Stem: to
Actual: one || Stem: one
Actual: of || Stem: of
Actual: his || Stem: hi
Actual: subalterns || Stem: subaltern
***LancasterStemmer****
Actual: Aging || Stem: ag
Actual: head || Stem: head
Actual: of || Stem: of
Actual: famous || Stem: fam
Actual: crime || Stem: crim
Actual: family || Stem: famy
Actual: decides || Stem: decid
Actual: to || Stem: to
Actual: transfer || Stem: transf
Actual: his || Stem: his
Actual: position || Stem: posit
Actual: to || Stem: to
Actual: one || Stem: on
Actual: of || Stem: of
Actual: his || Stem: his
Actual: subalterns || Stem: subaltern
***SnowballStemmer****
Actual: Aging || Stem: age
Actual: head || Stem: head
Actual: of || Stem: of
Actual: famous || Stem: famous
Actual: crime || Stem: crime
Actual: family || Stem: famili
Actual: decides || Stem: decid
Actual: to || Stem: to
Actual: transfer || Stem: transfer
Actual: his || Stem: his
Actual: position || Stem: posit
Actual: to || Stem: to
Actual: one || Stem: one
Actual: of || Stem: of
Actual: his || Stem: his
Actual: subalterns || Stem: subaltern