SAVE WORLD: Using Natural Language Processing(NLP) to Identify Suicidal Posts on Reddit

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"When you are tempted to give up, your breakthrough is probably just around the corner."

Overview

This project aims to leverage Natural Language Processing (NLP) techniques to identify potentially suicidal posts on Reddit. By analyzing posts from two subreddits—r/depression and r/SuicideWatch—we aim to provide support and intervention for individuals at risk.

Subreddits and Mission Statements

• r/depression: Because nobody should be alone in a dark place.
• r/SuicideWatch: Peer support for anyone struggling with suicidal thoughts.

Project Structure

SAVE WORLD: Using Natural Language Processing to identify suicidal posts
|__ code
|   |__ 01_Data_Collection.ipynb   
|   |__ 02_Data-Cleaning_Pre-processing_EDA.ipynb   
|   |__ 03_Modelling.ipynb 
|__ data
|   |__ combined_data.csv
|   |__ data_for_model.csv
|   |__ depression.csv
|   |__ suicide_watch.csv
|__ images
|   |__ (various_images_used_for_masking)
|__ HTML_corpus.html
|__ README.md

Notebooks

• 01_Data_Collection.ipynb: Notebook for collecting data from Reddit.
• 02_Data-Cleaning_Pre-processing_EDA.ipynb: Notebook for data cleaning, pre-processing, and exploratory data analysis.
• 03_Modelling.ipynb: Notebook for building and evaluating NLP models.

Data

• combined_data.csv: Combined dataset containing posts from both subreddits.
• data_for_model.csv: Processed data suitable for model training and evaluation.
• depression.csv: Raw data from the r/depression subreddit.
• suicide_watch.csv: Raw data from the r/SuicideWatch subreddit.

Visualisations