Question

我试图从文本文件中包含的句子中提取主要主题。例如，该文件包含如下所示的数据

I never used tobacco
They smoke tobacco
I do not like today's weather
Good weather
Exercise 3 to 4 times a week
No exercise
Family history of Cancer
No Cancer
,,· Alcohol use
Amazing football match
Pathetic football match
Has Depression

我必须提取主要主题并按如下方式打印：

I never used tobacco | Tobacco | False
They smoke tobacco | Tobacco | True
I do not like today's weather | Weather | False
Good weather | Weather | True
Exercise 3 to 4 times a week | Exercise | True
No exercise | Exercise | False
Family history of Cancer | Cancer | True
No Cancer | Cancer | False
,,· Alcohol use. | Alcohol | True
Amazing football match | Football Match| True
Pathetic football match | Football Match | False
Has Depression | Depression | True

我正在尝试Spacy，但无法获得所需的输出。我使用Spacy对句子进行了标记，然后使用了部分语音标记来提取名词，但仍然没有得到所需的内容。任何人都可以帮忙解决这个问题吗？

Answer 1

没有确切的解决方案，但是我使用的以下代码会有所帮助：

negatedwords = read_words_from_file('false.txt') # file containing all the negation words
#read_words_from_file() will read words from file

from collections import Counter
import spacy
nlp = spacy.load('en_core_web_md')

count = Counter(line.split())
negated_word_found = False
for key, val in count.items():
    key = key.rstrip('.,?!\n') # removing punctuations
    if key in negatedwords :
        negated_word_found= True

if negated_word_found== True:
    file_write.write("False")
else:
    file_write.write("True")

file_write.write(" | ")
document = nlp(line)

for word in document:
    look_for_word = word.text
    word_pos = word.pos_
    if ((word_pos =="NOUN" or word_pos =="ADJ" or word_pos == "PROPN" ) and look_for_word!="use" ): #The pos_ tag for 'use' is showed as NOUN  
        file_write.write(look_for_word)
        file_write.write(' ')

false.txt
never
Never
no
No
NO
not
NOT
Not
NEVER
don't
Don't
DON'T

从python中的句子中提取主要主题

1 个答案: