GreParl 0.3
Grep the Greek Parliament
Requires Python: >=3.6

# GreParl
A simple web-app-based Search Engine built on top of the Greek Parliament Proceedings

![Screenshot of GreParl's Index page](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Index.PNG?raw=true)

## Name
grep + Greek Parliament

## Install - GreParl Package
1. Run (ideally in a fresh venv) `pip install greparl`
1. Download the required data files and, if needed, decompress them in the desired directory (see below)

## Install - Data File Dependencies
The required data files that **are not shipped** along with the package include the Search Engine's indices, the parliament proceedings' file and some other tasty stuff.

- The raw proceedings can be downloaded here: [speeches.csv](https://aristotleuniversity-my.sharepoint.com/personal/papadopo_office365_auth_gr/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fpapadopo%5Foffice365%5Fauth%5Fgr%2FDocuments%2FGreek%5FParliament%5FProceedings%5F1989%5F2020%2Ezip&parent=%2Fpersonal%2Fpapadopo%5Foffice365%5Fauth%5Fgr%2FDocuments). The extracted file should be renamed to `speeches.csv`
- The Search Engine's core can be downloaded here: [information-retrieval.tar.gz](https://aristotleuniversity-my.sharepoint.com/:u:/g/personal/grammenot_office365_auth_gr/EQEWl2-R7n9EnREy6VUDKesBFRaFfdMKeLiVIBblMMYKcA?e=wxaswN)

> Those files should be decompressed in the same directory from which the user will run the GreParl.

Alternatively, all required files (apart from `speeches.csv`) can be auto-generated.

## Run
1. Activate venv
1. Run `greparl`  or `python -m greparl` and wait for signs of life..
1. The default browser should open up automatically, but if not, browse to "http://127.0.0.1:5000/" manually

---

## Features

### Search

![Screenshot of Index with typed keyword](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Index-Keyword.PNG?raw=true)

You can either search for a specific speech, or preview a random one (totally original..).

### Results

![Screenshot of Search Results](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Search-Results.PNG?raw=true)

You can preview the speeches in Results page. No pagination is available at time.

### Deep Search

![Screenshot of Deep Search Results](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Search-Deep-Results.PNG?raw=true)

You can perform a deeper search which will return speeches that are _similar_ not _identical_ to query.

### Speech View

![Screenshot of a Random Speech](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Random-Speech.PNG?raw=true)

You can read a specific speech and/or its metadata. Also, in Speech page, a shortcut is provided for highlighting the current speech.

## Highlights

![Screenshot of Highlights Screen with typed Speech](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Highlight-Me.PNG?raw=true)

You can find the most important keywords of a specific speech or set of speeches.

![Screenshot of Highlights](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Highlights.PNG?raw=true)

Speech sets can be grouped by parties or parliament members and can be limited using date ranges.

![Screenshot of Highlights Screen with typed Party](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Highlights-Party.PNG?raw=true)

## Similarities

![Screenshot of Similarities Screen](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Similarities-One-One.PNG?raw=true)

You can compare parliament members to find out who tend to speak about the same topics the most.

## Προβλέψεις

![Screenshot of Predictions](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Predictions.PNG?raw=true)

You can predict the party that is likely to have said an arbitrary phrase of choice.

![Screenshot of Predictions Results](https://github.com/GeorgeVasiliadis/GreParl/blob/main/gallery/Predictions-Results.PNG?raw=true)

## Important Notes
The author of this package is **not** the creator of Search Engine's core. All credits should go to [Theodoros Grammenos' work](https://github.com/teogramm/ir-proj-priv). This project is just a graphical wrapper, trying to make life easier :D

Also, note that this projects ships a modified version of alup's [greek_stemmer](https://github.com/alup/python_greek_stemmer), which is originally distributed under MIT License.