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AD-Targeting-for-Apple-Products-on-Twitter

E6893-Big-Data-Project

Team ID: 201812-20

Team Members:

UNI Name Email
jw3592 Jingyi Wang jw3592@columbia.edu
fl2476 Fangbing Liu fl2476@columbia.edu
yh2866 Yuanqing Hong yh2866@columbia.edu

The website is hosted on Google Cloud and can be access through: http://35.196.85.28:5000/

The intermediate ouput of LDA, Sentiment Analysis and Influence Analysis is in data_processing/main.ipynb

Run Instruction:

clone the git repository:

git clone: git@github.com/yh2866/AD-Targeting-for-Apple-Products-on-Twitter.git

get into "website" folder:

python3 app.py

get into "website/s3" folder:

python -m SimpleHTTPServer

And then, the website is availble through: '0.0.0.0:5000'

The diagram of the project:

Image of Architecture

Main page of website:

Image of Architecture

Page of twitter and geometrical information:

Image of Architecture

Page of profile and sentimentation analysis:

Image of Architecture

Page of influencer analysis:

Image of Architecture

Page of result Ads:

Image of Architecture Image of Architecture Image of Architecture Image of Architecture Image of Architecture

About

E6893 Final Project (Team ID: 201812-20, Team Members: yh2866, jw3592 fl2476)

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  • Jupyter Notebook 64.6%
  • Java 30.8%
  • HTML 2.8%
  • JavaScript 1.5%
  • Python 0.2%
  • Shell 0.1%