更高效地实施 Textacy / spacy 'subject_verb_object_triples'

Question

我正在尝试在我的数据集上实现来自 textacy 的 'extract.subject_verb_object_triples' 功能。但是，我编写的代码非常慢并且占用大量内存。有没有更高效的实现方式？

import spacy
import textacy

def extract_SVO(text):

    nlp = spacy.load('en_core_web_sm')
    doc = nlp(text)
    tuples = textacy.extract.subject_verb_object_triples(doc)
    tuples_to_list = list(tuples)
    if tuples_to_list != []:
        tuples_list.append(tuples_to_list)

tuples_list = []          
sp500news['title'].apply(extract_SVO)
print(tuples_list)

示例数据 (sp500news)

    date_publish  \
0       2013-05-14 17:17:05   
1       2014-05-09 20:15:57   
4       2018-07-19 10:29:54   
6       2012-04-17 21:02:54   
8       2012-12-12 20:17:56   
9       2018-11-08 10:51:49   
11      2013-08-25 07:13:31   
12      2015-01-09 00:54:17   

 title  
0       Italy will not dismantle Montis labour reform  minister                            
1       Exclusive US agency FinCEN rejected veterans in bid to hire lawyers                
4       Xis campaign to draw people back to graying rural China faces uphill battle        
6       Romney begins to win over conservatives                                            
8       Oregon mall shooting survivor in serious condition                                 
9       Polands PGNiG to sign another deal for LNG supplies from US CEO                    
11      Australias opposition leader pledges stronger economy if elected PM                
12      New York shifts into Code Blue to get homeless off frigid streets

Answer 1

这应该会加快速度 -

import spacy
import textacy
nlp = spacy.load('en_core_web_sm')
def extract_SVO(text):
    tuples = textacy.extract.subject_verb_object_triples(text)
    if tuples:
        tuples_to_list = list(tuples)
        tuples_list.append(tuples_to_list)

tuples_list = []          
sp500news['title'] = sp500news['title'].apply(nlp)
_ = sp500news['title'].apply(extract_SVO)
print(tuples_list)

说明

在 OP 实现中，nlp = spacy.load('en_core_web_sm') 是从它每次加载的函数内部调用的。我觉得这是最大的瓶颈。这个可以拿出来，应该会加快速度。

此外，仅当元组不为空时才会将 tuple 强制转换为 list。

更高效地实施 Textacy / spacy 'subject_verb_object_triples'

More efficient implementation of Textacy / spacy 'subject_verb_object_triples'

python

nlp

pandas

spacy

textacy

示例数据 (sp500news)