如何使用谷歌云NL api进行情绪分析

Question

如何使用谷歌云NL api对来自Twitter的推文进行情绪分析，主题（关键字）是我选择的？

我可以编写使用Twitter（Twitter api）的python脚本，这是人们对我使用python的NL库"TextBlob"选择的主题的感受。

 import tweepy from textblob import TextBlob
# Step 1 - Authenticate
consumer_key= 'CONSUMER_KEY_HERE'
consumer_secret= 'CONSUMER_SECRET_HERE'
access_token='ACCESS_TOKEN_HERE'
access_token_secret='ACCESS_TOKEN_SECRET_HERE'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
#Step 3 - Retrieve Tweets
public_tweets = api.search('Trump')

#CHALLENGE - Instead of printing out each tweet, save each Tweet to a CSV file
#and label each one as either 'positive' or 'negative', depending on the sentiment 
#You can decide the sentiment polarity threshold yourself

for tweet in public_tweets:
    print(tweet.text)
    #Step 4 Perform Sentiment Analysis on Tweets
    analysis = TextBlob(tweet.text)
    print(analysis.sentiment)
    print("")

Answer 1

您可以使用 google-cloud python 模块：

# Import the module and create a language client
from google.cloud import language
language_client = language.Client()
# Analyze the sentiment
document = language_client.document_from_html(tweet.text)
annotations = document.analyze_sentiment()
print(annotations.score, annotations.magnitude)

此外，您可以使用 tweepy 流式处理 API 中的 track 参数实时过滤有关特定主题的推文。