I am interested in the interactional aspects of Twitter, that is how people reply to one another. I have tried Netlytic, but it doesn't scrape the whole conversation but only the tweet that is a reply to another tweet, without collecting also the tweet that originated the reply/ies.
Is there a software, out there, that collects all the tweets in a discussion, starting from a search word/string?
Could that be retrieved with python on the Twitter API? How?
There's tweepy(https://www.tweepy.org/), but you can always use plain old selenium with some extra coding.
you can use this code in python it will provide results in CSV.
from twitter_scraper_selenium import scrape_keyword scrape_keyword(keyword="", browser="", tweets_count=, until="", since=" ",output_format="csv",filename="")
https://increditools.com/twitter-scrapers/-link of scraping tools.
Yes, you can use FollowersAnalysis (https://www.followersanalysis.com/) to export any public Twitter user's tweets in a CSV/Excel datasheet and analyze it.
Gargy Gupta thanks for sharing this resource. I am wondering what about privacy issues? I am based in Europe and we should apply the GDPR to Twitter data, I guess. But I don't see any mention of it on their website.
This might help. Conference Paper A Novel Twitter Sentiment Analysis Model with Baseline Corre...
Thanks Jm Toucas
for your answer. Did you refer to this incident, by any chance? https://www.activemind.legal/guides/fine-desinfolab/- Badges
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