Skip to content

Study of Electronic Nicotine Delivery Systems by analysing user behavioral patterns using Twitter data.

Notifications You must be signed in to change notification settings

utsavc1606/ENDS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ENDS - Analysis using Twitter data

Step 1: Collect tweets from Twitter based on certain keywords that are relevant to ENDS. [Output file: tweetOutput.csv] (Completed)

Step 2: Filter out retweeted tags [Output file: allTweetsNoRtTag.txt (original) Step2Op4Staging.txt(working copy)] (Completed)

Step 3: Filter out spam tweets (obvious bots and advertisers). [Output files: unwantedTweets.txt, unwantedTweetsWithFrequency.txt](Completed)

Step 4: Create clean working data set no spam tweets. [Output File: spamFreeData.txt] (Completed)

Step 5: Calculate user tweet frequency. [Output file: userFrequency.txt] (Completed)

Step 6: Review and shortlist users relevant to this research. (Pending)

Note: All Input and Output files are located in the Data folder.
Main code files are located at "ENDS/ENDSTweetAnalysis/ENDS/" in the repository.

About

Study of Electronic Nicotine Delivery Systems by analysing user behavioral patterns using Twitter data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages