0

这里的 Aster 用户正试图完全转移到 python 进行基本的文本分析。我正在尝试使用 nltk 或其他模块在 Python 中复制 ASTER ngram 的输出。我需要能够为 1 到 4 的 ngram 执行此操作。输出到 csv。

数据：

Unique_ID, Text_Narrative

需要的输出：

Unique_id, ngram(token), ngram(frequency)

示例输出：

  • 023345 “我” 1
  • 023345《爱》1
  • 023345 “蟒蛇” 1
4

2 回答 2

0

python出于教育原因，我只使用 的标准库编写了这个简单的版本。

生产代码应该使用spacy和pandas

import collections
from operator import itemgetter as at
with open("input.csv",'r') as f:
    data = [l.split(',', 2) for l in f.readlines()]
spaced = lambda t: (t[0][0],' '.join(map(at(1), t))) if t[0][0]==t[1][0] else []
unigrams = [(i,w) for i, d in data for w in d.split()]
bigrams = filter(any, map(spaced, zip(unigrams, unigrams[1:] )))
trigrams = filter(any, map(spaced, zip(unigrams, unigrams[1:], unigrams[2:])))
with open("output.csv", 'w') as f:
    for ngram in [unigrams, bigrams, trigrams]:
        counts = collections.Counter(ngram)
        for t,count in counts.items():
            f.write("{i},{w},{c}\n".format(c=count, i=t[0], w=t[1]))
于 2017-08-14T15:23:58.173 回答
0

正如其他人所说，这个问题真的很模糊，但由于你是新手，这里有一份长篇指南。:-)

from collections import Counter

#Your starting input  - a phrase with an ID
#I added some extra words to show count
dict1 = {'023345': 'I love Python love Python Python'}


#Split the dict vlue into a list for counting
dict1['023345'] = dict1['023345'].split()

#Use counter to count
countlist = Counter(dict1['023345'])

#count list is now "Counter({'I': 1, 'Python': 1, 'love': 1})"

#If you want to output it like you requested, interate over the dict
for key, value in dict1.iteritems(): 
    id1 = key
    for key, value in countlist.iteritems():
        print id1, key, value
于 2017-11-10T23:32:24.510 回答