从 python 中的句子中提取主语

Question

我正在尝试从包含在文本文件中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

我要提取主旨打印如下：

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

我正在为它尝试 Spacy，但无法获得所需的输出。我使用 Spacy 对句子进行标记，然后使用词性标记来提取名词，但仍然没有得到所需的东西。任何人都可以帮助它如何完成吗？

Answer 1

没有确切的解决方案，但我使用的以下代码有点帮助：

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 中的句子中提取主语

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