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0.0 12.0 1.0 158.14 MB

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

Home Page: http://35.196.85.28:5000/

Jupyter Notebook 64.53% Python 0.21% Makefile 0.03% Shell 0.07% Batchfile 0.02% Java 30.83% HTML 2.79% CSS 0.03% JavaScript 1.48%

ad-targeting-for-apple-products-on-twitter's Introduction

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

E6893-Big-Data-Project

Team ID: 201812-20

Team Members:

UNI Name Email
jw3592 Jingyi Wang [email protected]
fl2476 Fangbing Liu [email protected]
yh2866 Yuanqing Hong [email protected]

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: [email protected]/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

ad-targeting-for-apple-products-on-twitter's People

Contributors

fangbingliu avatar yh2866 avatar

Watchers

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Forkers

sjoerdapp

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