Question

我已经编写了从用户列表（句柄）中提取推文的代码。我正在将信息写到一个名为“结果”的.txt文件中。

with open("results", "w") as fp:

for handle in handles:
    print("Analyzing tweets from " + handle + "...")

    user = api.get_user(id=handle)

    fp.write("Handle: " + handle + "\n")
    fp.write("Name: " + user.name + "\n")
    fp.write("Description: " + str(user.description.encode(sys.stdout.encoding, errors='replace')) + "\n")
    fp.write("Followers: " + str(user.followers_count) + "\n")
    fp.write("Following: " + str(user.friends_count) + "\n")

    tweet_counter = 0
    prosocial_tweets_count = 0
    regular_tweets_count = 0

    all_tweets = []
    social_tweets_len = []
    regular_tweets_len = []
    social_tweets_valence = []
    regular_tweets_valence = []

    regular_attachments = 0
    social_attachments = 0

    for tweet in tweepy.Cursor(api.user_timeline, id=user.id).items():
        #control for timeline
        dt = tweet.created_at
        if dt > date_until:
            continue
        if dt < date_from:
            break # XXX: I hope it's OK to break here
        if include_retweets == "no" and tweet.text.startswith("RT"):
            continue
        if include_replies == "no" and tweet.in_reply_to_user_id:
            continue
        tweet_counter += 1

        for word in vocabulary:
            if word in tweet.text.lower():
                #increase count of pro social tweets
                prosocial_tweets_count += 1
                #clean the tweet for valence analysis
                clean = TextBlob(tweet.text.lower())
                #calculate valence
                valence = clean.sentiment.polarity
                #append the valence to a list 
                social_tweets_valence.append(valence)
                #append the length of the tweet to a list
                social_tweets_len.append(len(tweet.text))

                #check if there is an attachment
                counting = tweet.text.lower()
                counting_attachments = counting.count(" https://t.co/")
                social_attachments = social_attachments + counting_attachments

                #write date
                fp.write("  * " + str(dt) + "\n")
                #write the tweet
                fp.write("    " + str(tweet.text.encode(sys.stdout.encoding, errors='replace')) + "\n")
                #write the length of the tweet
                fp.write("    Length of tweet " + str(len(tweet.text)) + "\n")
                #write the valence of the tweet
                fp.write("    Tweet valance " + str(valence) + "\n")
                #write the retweets of the tweet
                fp.write("    Retweets count: " + str(tweet.retweet_count) + "\n")
                #write the likes of the tweet
                fp.write("    Likes count: " + str(tweet.favorite_count) + "\n")
                # Report each tweet only once whenever it contains more than one prosocial words
                break

            else:
                #this code runs if the tweet is not prosocial
                regular_tweets_count += 1
                clean = TextBlob(tweet.text.lower())
                valence = clean.sentiment.polarity

                counting = tweet.text.lower()
                counting_attachments = counting.count(" https://t.co/")
                regular_attachments = regular_attachments + counting_attachments

                regular_tweets_valence.append(valence)
                regular_tweets_len.append(len(tweet.text))

    attachments = regular_attachments + social_attachments

我想知道是否有人知道一种很好的方法来检查推文中是否包含图像或视频。我还想创建每个用户平均使用图像和视频的列表。

Answer 1

当我们从Twitter API获取数据时，数据为JSON格式。尽管它包含有关该ID的所有数据，并以值和字段的形式进行注释。因此，如果您只想检查图像是否已经存在，则可以进行条件语句说明

if(image == TRUE){
 THEN 'yes'
}
ELSE
 'no'

Answer 2

如果您查看This thread，将会看到一条推文中的所有媒体实际上都存储在tweet.entities['media']中。

因此，如果您想知道给定的tweet（tweepy使用的格式tweepy.models.Status）是否包含图片，可以尝试以下操作：

try:
    print(True in [medium['type'] == 'photo' for medium in tweet.entities['media']])
except:
    print("No picture in this tweet")

希望对您有帮助。

如何在Tweepy的推文中检查图像使用情况

2 个答案: