预处理推文，删除 @ 和 # ，删除停用词并从 python 中的列表列表中删除用户

Question

我写了下面的代码，但是现在我想重新处理，所以我转换到较低的，我写了一些词来消除停用词但是没有用，我想删除@和#并且删除用户，你能帮助我吗？




! pip install wget
import wget
url = 'https://raw.githubusercontent.com/dirkhovy/NLPclass/master/data/tweets_en.txt'
wget.download(url, 'tweets_en.txt')
tweets = [line.strip() for line in open('tweets_en.txt', encoding='utf8')]

import spacy
from collections import Counter
# your code here
import itertools
nlp = spacy.load('en')

#Creates a list of lists of tokens
tokens = [[token.text for token in nlp(sentence)] for sentence in tweets[:200]]
print(tokens)


#to lower
token_l=[[w.lower() for w in line] for line in tokens]
token_l[:1]

#remove #

#remove stop word

#remove user

#remove @

from nltk.corpus import stopwords

# filtered_words = [[w for w in line] for line in tokens if w not in # stopwords.words('english')]

Answer 1

始终尝试将代码组织成函数：它们是可重用、可读和可循环的。

from nltk.corpus import stopwords
import spacy, re

nlp = spacy.load('en')

stop_words = [w.lower() for w in stopwords.words()]

def sanitize(input_string):
    """ Sanitize one string """

    # normalize to lowercase 
    string = input_string.lower()

    # spacy tokenizer 
    string_split = [token.text for token in nlp(string)]

    # in case the string is empty 
    if not string_split:
        return '' 

    # remove user 
    # assuming user is the first word and contains an @
    if '@' in string_split[0]:
        del string_split[0]

    # join back to string 
    string = ' '.join(string_split)

    #remove # and @
    for punc in '@#':
       string = string.replace(punc, '')

    # remove 't.co/' links
    string = re.sub(r't.co\/[^\s]+', '', string, flags=re.MULTILINE)

    # removing stop words 
    string = ' '.join([w for w in string.split() if w not in stop_words])

    return string 


list = ['@Jeff_Atwood Thank you for #Whosebug', 'All hail @Joel_Spolsky t.co/Gsb7V1oVLU #Whosebug' ]

list_sanitized = [sanitize(string) for string in list]

输出：

['thank Whosebug', 'hail joel_spolsky Whosebug']

预处理推文，删除 @ 和 # ，删除停用词并从 python 中的列表列表中删除用户

preprocessing tweets, remove @ and # , eliminate stop words and remove user from list of list in python

python

nlp

nltk

spacy