genyunus / detecting_fake_news Goto Github PK

When I scraped the data I stored them in MongoDb (as you instructed), so I wanted to know if you used those data, and exported them into the following files, or these are some other data?

df1 = pd.read_csv("/Users/Yemre/Desktop/CapStone/NYT_Articles_.csv")
df2 = pd.read_csv("/Users/Yemre/Desktop/NYT_Article_Collections/New_Times_Last_SON_aprl_3.csv")
df3 = pd.read_csv("/Users/Yemre/Desktop/NYT_Article_Collections/New_Times_Last_SON_aprl_3_2nd.csv")
df4 = pd.read_csv("/Users/Yemre/Desktop/NYT_Article_Collections/New_Times_Last_SON_aprl_4.csv")

If you exported the data from Mongo, what data structure do these data have (Did you normalize the orginal JSON structure to a plain JSON)?

when i am using the code for scraping NYT, its not scraping any article and when i checked for the problem it seems that the articles do not have body so the condition for no body is satisfied always and the for loop keeps on running wthout scrapping any actual data, i am not able to solve it please help me.

How do I check if a new article is fake or not? I want to do something like in the website in the medium article https://medium.com/@Genyunus/detecting-fake-news-with-nlp-c893ec31dee8

Thanks