Pre-requisites

• Fast internet connection. BEWARE: We will be downloading around 5-8 GB of data
• If you decide to run this software on your local machine, you will be downloading that much data which can exhaust your daily data limits.
• Your machine should support more than 4 GB of RAM as the models are large.
• Ensure that you have installed Python 3 versions of either Miniconda or Anaconda before running the following commands. You can check it by running conda --version

Mac and Linux Users:

You can simply run the script ./socialmediaie_setup.sh to setup everything.

Windows users

• If you are on Windows you need to have git installed from https://git-scm.com/downloads then you can launch git Bash.
• Windows users: run the commands in their respective applications, i.e. git bash and Anaconda Prompt.
• Create a folder called IC2S2 and run all the commands withing that folder
• Run this in git bash or download the repository from https://github.com/socialmediaie/SocialMediaIE/archive/master.zip and unzip it into IC2S2 folder.

  git clone https://github.com/socialmediaie/SocialMediaIE.git
  

Run the following in Anaconda prompt

conda env create -f SocialMediaIE/environment.yml 
conda activate SocialMediaIE
pip install -e SocialMediaIE/

Run the following in git bash

• NOTE: You can also download the file manually from https://databank.illinois.edu/datafiles/vodt2/download and place it in IC2S2 folder.

DOWNLOAD_PATH="https://databank.illinois.edu/datafiles/vodt2/download"
wget ${DOWNLOAD_PATH} -O ic2s2_data.tar.gz
cd SocialMediaIE/ && tar -xzf ../ic2s2_data.tar.gz 

Test if everything works

• Run the following on git bash or download the file test_install from https://github.com/socialmediaie/tutorials/tree/master/docs/IC2S2_2020 and place in IC2S2 folder

wget https://raw.githubusercontent.com/socialmediaie/tutorials/master/docs/IC2S2_2020/test_install.py

Run the following in Anaconda

python test_install.py 

Running the web-server on both Mac/Linux/Windows

If you want to run the webserver install the following:

pip install python-dotenv

Run tagging webserver

cd SocialMediaIE/webapp
flask run --without-threads --no-reload

• Open your browser http://localhost:5000 once you are done press Ctrl+C in Anaconda prompt

Run classification model

cd SocialMediaIE/webapp_classification
flask run --without-threads --no-reload

• Open your browser http://localhost:5000 once you are done press Ctrl+C in Anaconda prompt