Python TextBlob 翻译问题

Question

我正在使用 Python、TextBlob 和 NLTK 做一个快速情绪分析控制台应用程序。

目前我正在使用指向西班牙语 wiki 文章的链接，所以我不需要翻译它，我可以使用 nltk 西班牙语停用词列表，但是如果我想让这段代码适用于不同的语言链接怎么办？

如果我使用textFinal=TextBlob(texto) 下方的TextFinal=TextFinal.translate(to="es") 行（下面的代码），我会收到一个错误，因为它无法将西班牙语翻译成西班牙语。

我可以通过使用 try/catch 来防止这种情况吗？有没有办法让代码尝试翻译成不同的语言（以及使用不同的停用词列表）取决于我提供给应用程序的链接的语言？

import nltk
nltk.download('stopwords')
from nltk import  word_tokenize
from nltk.corpus import stopwords
import string
from textblob import TextBlob, Word
import urllib.request
from bs4 import BeautifulSoup

response = urllib.request.urlopen('https://es.wikipedia.org/wiki/Valencia')
html = response.read()

soup = BeautifulSoup(html,'html5lib')
text = soup.get_text(strip = True)


tokens = word_tokenize(text)
tokens = [w.lower() for w in tokens]

table = str.maketrans('', '', string.punctuation)
stripped = [w.translate(table) for w in tokens]
words = [word for word in stripped if word.isalpha()]

stop_words = set(stopwords.words('spanish'))

words = [w for w in words if not w in stop_words]

with open('palabras.txt', 'w') as f:
    for word in words:
        f.write(" " + word)

with open('palabras.txt', 'r') as myfile:
    texto=myfile.read().replace('\n', '')


textFinal=TextBlob(texto)

print (textFinal.sentiment)

freq = nltk.FreqDist(words)

freq.plot(20, cumulative=False)

Answer 1

看一下 langdetect 包。您可以检查您输入的页面的语言，如果页面语言与翻译语言匹配，则跳过翻译。类似于以下内容：

import string
import urllib.request

import nltk
from bs4 import BeautifulSoup
from langdetect import detect
from nltk import word_tokenize
from nltk.corpus import stopwords
from textblob import TextBlob, Word

nltk.download("stopwords")
# nltk.download("punkt")

response = urllib.request.urlopen("https://es.wikipedia.org/wiki/Valencia")
html = response.read()

soup = BeautifulSoup(html, "html5lib")
text = soup.get_text(strip=True)
lang = detect(text)

tokens = word_tokenize(text)
tokens = [w.lower() for w in tokens]

table = str.maketrans("", "", string.punctuation)
stripped = [w.translate(table) for w in tokens]
words = [word for word in stripped if word.isalpha()]

stop_words = set(stopwords.words("spanish"))

words = [w for w in words if w not in stop_words]

with open("palabras.txt", "w", encoding="utf-8") as f:
    for word in words:
        f.write(" " + word)

with open("palabras.txt", "r", encoding="utf-8") as myfile:
    texto = myfile.read().replace("\n", "")


textFinal = TextBlob(texto)

translate_to = "es"
if lang != translate_to:
    textFinal = textFinal.translate(to=translate_to)

print(textFinal.sentiment)

freq = nltk.FreqDist(words)

freq.plot(20, cumulative=False)