Набор данных фейковых новостей с использованием Python ⇐ Python

[Anonymous]

У меня есть эти данные для создания набора данных для обнаружения фейковых новостей Facebook:

Код: Выделить всё

Profile parameters (Fake and legitimate): Total number of information related to multiple profiles (Facebook)
Total profiles: 5026
Total news collected: 15328
Total number of post: 42256893
Total number followers: 3685643
Total number of followings: 2354782
Total number of likes by the user: 16236669
Total umber of listed count: 67 976
Total URL’s shared: 2609

Я хочу создать набор данных. Мой код Python:

Код: Выделить всё

dataset = pd.DataFrame(
columns=['profileid', 'profilename', 'dateofjoin', 'allfriends', 'profilepicture', 'numberofgroupjoins',
'numberofpagelikes', 'newspost', 'profilewithphotoguard', 'numberofsharedstories', 'numberoffollowers',
'numberofevents', 'numberofsharedposts (image, text, video)', 'numberofurlshared', 'numberoftags',
'numberofhashtag', 'numberofnewlyaddedfriends', 'recentpostlikedorshared', 'currentlocation',
'messageswithspamwords', 'source', 'headline', 'bodytext', 'text', 'images (with text or with hyperlink)',
'videos', 'linguisticsbased (chapter, word, sentence, document, quoted word, external link, etc.)',
'StatisticalFeatures (count, ImageRatio, MultiImageRatio, HotImageRatio, ShortImageRatio)',
'Images (ClaritySource, Coherence, SimilarityDistribution, DiversitySource, ClusteringScore)', 'PostDate'])

# Populate the dataframe with random values

for i in range(15000):
dataset.loc[i] = [np.random.randint(0, high=5000),  # profile id
'User' + str(np.random.randint(0, high=5000)),  # profile name
np.random.randint(0, high=999999999),  # date of join
np.random.randint(0, high=5000),  # all friends
np.random.randint(0, high=2),  # profile picture
np.random.randint(0, high=1000),  # number of group joins
np.random.randint(0, high=1000),  # number of page likes
np.random.randint(0, high=1000),  # news post
np.random.randint(0, high=2),  # profile with photo guard
np.random.randint(0, high=1000),  # number of stories shared
np.random.randint(0, high=1000),  # number of following
np.random.randint(0, high=1000),  # number of events
np.random.randint(0, high=1000),  # number of shared posts (image, text, video)
np.random.randint(0, high=1000),  # number of URL shared
np.random.randint(0, high=1000),  # number of tags
np.random.randint(0, high=1000),  # number of hashtags
np.random.randint(0, high=1000),  # number of newly added friends
np.random.randint(0, high=2),  # recent post liked or shared
np.random.randint(0, high=2),  # current location
np.random.randint(0, high=1000),  # messages with spam words
np.random.randint(0, high=2),  # source
np.random.randint(0, high=1000),  # headline
np.random.randint(0, high=1000),  # body text
np.random.randint(0, high=1),  # text
np.random.randint(0, high=1),  # images (with text or with hyperlink)
np.random.randint(0, high=1),  # videos
np.random.randint(0, high=999999999),  # linguistics based (chapter, word, sentence, document, quoted word, external link, etc.)
np.random.randint(0, high=999999999),  # StatisticalFeatures (count, ImageRatio, MultiImageRatio, HotImageRatio, ShortImageRatio)
np.random.randint(0, high=1),  # Images (ClaritySource, Coherence, SimilarityDistribution, DiversitySource, ClusteringScore)
np.random.randint(0, high=999999999)]  # PostDate

• Я не знаю, как поставить дату в диапазоне, например. С 1970 по 2023 год для даты присоединения к функции и даты публикации. Может ли кто-нибудь мне помочь?
• цифры для всех функций кажутся правильными или нет?