How to predict twitter tweet reach on a specific area ? For e.g if a user tweets in china then how can i predict about its reach there is a website named keyhole.co they tells the total reach of tweets containing the hashtag that user searched for. Below is the screenshot that is the result when i searched for hashTag (#Retweet)
Basically, they are tells reach of a hashtag.
But the question is that how to predict the about tweet reach in a specific area (country or region).
Backgroud Research:
I know that i can check count of how many times the Tweet has been viewed through twitter Engagement API. I have aslo checked that there is a api called TwitterCounter that contains the Scripts for counting tweets. Uses 'search/tweets' or 'statuses/filter' Twitter resource to get old or new tweets, respectively.
There are also ways to get counts of retweets like discussed in this answer. Moreover, there are other ways to get views/reach of old tweets and track specific word or hashtag in tweets etc.
But my question is that how can i predict about a tweet reach ?
I have been searching for this for past several days but didn't able to find a way or solution to do it.
Can anyone please help me by telling the way to get what i want or tell me any solution by which i can do it.
Thanks in advance!
Related
I'm trying to figure out a way to get the number of tweets per hour that has the word "Ethereum" in them in the last month.
Does anybody have an idea of how can I do that ?
There is plenty of code out there on how to scrape tweets, you can use the twitter API too, then just search every tweet for the word 'Ethereum' in it.
Not going to spoon feed you the exact solution but google.
How to scrape tweets using python?
How to find a word in a string in python.
Hello I want to ask a question regarding scraping tweets from the Twitter using Twint library
Basically, to scrape tweet from a specific location, it is needed to put geocoded data which is consist of 'latitude, longitude, radius'
So my question here is how do I scrape the tweets in the whole Indonesia?
If i need to use the geocode, so the coordinate will be coor_ind = '4.2105, 101.9758, radius(km)
how do I determine the radius that covers the whole Indonesia?
First up, you might not get every tweet - because some tweets might not have location on them.
But you can use the c.near for cities in Indonesia.
An example is available on this Medium article.
I have tried using tweepy to extract tweets for a specific keyword.But the count of extracted tweets using tweepy is less compared those tweets for the specific keyword as seen on twitter search.
Also I want to know how to effectively extract ALL the tweets for a specific keyword of interest using any twitter data extracting library (tweepy/twython).
I also face a problem of irrelevant tweets with same keyword coming up.Is there a way to fine tune search and perform accurate extraction so that I get all the tweets extracted for the specific keyword.
Im adding the code snippet as many asked for it.But I don't have a problem with the code as its running.
tweets = api.search('Mexican Food', count=500,tweet_mode = 'extended')
data = pd.DataFrame(data=[tweet.full_text for tweet in tweets], columns
['Tweets'])
data.head(10)
print(tweets[0].created_at)
My question is that how to get ALL the tweets with a particular keyword.For example when I run the above code ,for each time I am getting different count of tweets.Also I cross checked with doing manual search on twitter and it seems that there are much more tweets than extracted through tweepy for the particular keyword.
Also I want to know if there is any way to fine tune the keyword search through python so that all the relevant tweets for my keyword of interest is fetched.
The thing is when you use tweepy It has some limitation. It won't be able to fetch older tweets.
So I will suggest you to use
https://github.com/Jefferson-Henrique/GetOldTweets-python
in place of tweepy to fetch the older tweets.
Since you refuse to help me with your question, I'll do the bare minimum with my answer:
You are probably not doing pagination correctly
ps: Check out the stack overflow guidelines. There is an important point about Helping others reproduce the problem
I am doing a project on aspect based sentiment analysis from tweets on twitter. I am using tweepy to fetch the tweets. I noticed that I get only a few tweets. What is the maximum number of tweets I can get using tweepy, when a product name is searched? Is there any way I can increase this number? This is the code I am referring to : https://pastebin.com/vqbkFhtf
The number of tweets will depend on how many people are talking about the product.
Also i would suggest you to use twitter streaming API so that you get the tweets as they appear.
If I retweet a tweet, is there a way of finding out how many times "my retweet" has been retweeted / favorited? Are there provisions in the Twitter API to retrieve that? There is no key in retweeted_status which gives that information. What am I missing here?
Yes you can track it. Get the stats(favorite, retweet_count) of your retweet(time when you are retweeting it.) and save this stats somewhere as a check-point. Next time when someone is going to retweet it again you will get an updated stats of the your previous retweet and do compare latest stats with the existing check-point.