Aim of this project was to analyzing and vizualizing real twitters from users. These twitters are in "Twitter Data/Train2017.tsv" folder. After Analyzing and Visualizing these tweets which they had an attribute label (positive, negative, neutral) the aim was to train a machine with these set of tweets.Afterwatds with another set of tweets ("Twitter Data/test.tsv") which their label was blank, the trained machine should be able categorize the sentiment of each tweet. The source code with the results of this project are in "Final.ipynb
-
Notifications
You must be signed in to change notification settings - Fork 0
gskouras/Tweeter-Sentiment-Analysis
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Analyzing ,Visualizing and Categorizing Tweeters in order to determine whether their attitude was positive, negative or neutral
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published