IRWA

TL;DR

This repository contains the implementation of a search engine for the Information Retrieval and Web Analytics course, part of the Mathematical Engineering in Data Science degree at Pompeu Fabra University. The corpus of documents used is a collection of tweets related to the Farmers Protests in 2021.

Usage

The code is executed from the python notebooks located in the notebooks/ folder. To run the code you will need to install the dependencies specified in the requirements.txtfile.

The data folder is empty by default. To use the code you will need to populate it with the corresponding files.

Here is a step by step example of how to run the code using Jupyter Notebook and venv. Other editors such as Visual Studio are also suitable options for running the code.

Step 1: Git clone the repository to your local system

git clone [email protected]:iv97n/irwa.git

Step 2: Create a venv in the root of your project and install dependencies

Create the virtual environment
Windows

python -m venv venv

Ubuntu

python3 -m venv venv

Activate the virtual environment
Windows

.\venv\bin\activate

Ubuntu

source venv/bin/activate

Install the requirements.txt dependencies

pip install -r requirements.txt

Step 3: Create a ipykernel

ipython kernel install --user --name=venv

Step 4: Select the ipykernel and run the code

The code is executed from the python notebooks located in the notebooks/ folder. To select the suitable kernel for executing them, once you have opened Jupyter Notebook go to Kernel>>Change Kernel and select the venv kernel.