Skip to content
/ Classification-of-Actionable-Tweets Public
forked from ajinkyarawankar/Classification-of-Actionable-Tweets

Analysis of posts on police twitter handles.Classifying posts on categories and arrange them on the basis of severity.

0 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

ravihooda155/Classification-of-Actionable-Tweets

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
.ipynb_checkpoints
.ipynb_checkpoints
 
 
app
app
 
 
application/app
application/app
 
 
img
img
 
 
Actionable Tweets Eval 2.ipynb
Actionable Tweets Eval 2.ipynb
 
 
README.md
README.md
 
 
TweetsExtract.ipynb
TweetsExtract.ipynb
 
 
prediction_model.ipynb
prediction_model.ipynb
 
 
table.csv
table.csv
 
 
train_df.csv
train_df.csv
 
 
train_model.ipynb
train_model.ipynb
 
 
tweets 800_.csv
tweets 800_.csv
 
 
tweets.csv
tweets.csv
 
 
tweets_predictions.csv
tweets_predictions.csv
 
 
tweets_test.csv
tweets_test.csv
 
 
tweets_train.csv
tweets_train.csv
 
 

Repository files navigation

Classification-of-Actionable-Tweets

Content

  • Data Collection
  • ML Methodology
  • Data Analysis
  • Dashboard Layout

Data Collection

  • Tweets are collected tagged with particular police handle.
  • Tweepy api is used to get the tweets in python.

ML Methodology

ML Classification Sample

Community Action

Fake News

Fraud

Traffic

Undetermined

Primary Analysis

Topic Modelling

TF IDF Analysis on Post

Analysis

Dashboard Inteface

About

Analysis of posts on police twitter handles.Classifying posts on categories and arrange them on the basis of severity.

Topics

python machine-learning topic-modeling tf-idf tweepy

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • CSS 63.9%
  • Jupyter Notebook 31.7%
  • HTML 3.9%
  • Other 0.5%