I need help for a project on my uni. I have to reproduce a scientific paper which makes a sentiment analysis using twitter data. My prof has given me the data, but the dataset is in .txt format and they are only tweet IDs. How can I work with them? I created a twitter Api, I just don't know what to do with only twitter IDs with my analysis. is there a way where I can extract whole twitter text from id, to do the cleaning of data and classification?

I opened twitter Api

CodePudding user response：

We are not here to do your homework for you. You should be able to fetch tweet information (including text) by querying using the twitter ID

CodePudding user response：

Using

Demo code (suppose less then 100 ids)

import tweepy

bearer_token ="your token"

client = tweepy.Client(bearer_token=bearer_token)

tweets_file = open("tweet_ids.txt", "r")
data = tweets_file.read()
tweet_ids = data.split("\n")
tweets_file.close()

tweets = client.get_tweets(ids=tweet_ids)

for tweet in tweets.data:
    print(tweet.id, " -> ",tweet.text)
    print('---------------------------------------------------------')

With text file, the tweet_ids.txt file name.

1615009611186069504
1591179284991070208
1590380720853114881

result

>python get-tweets.py
1615009611186069504  ->  Municipio: Santo Antônio Da Platina - PR
Setor censitário: 412410305000028
População: 718
Área (Km2): 1.31
Densidade (hab/Km2): 548.06
Zona: urbana