Text preprocessing
Python and NLTK were used for natural-language-processing tasks to prepare Reddit text for structured analysis.
Independent project / Project case study
Reddit Sentiment & Mental Health Language Analysis
Exploring language patterns through NLP
THE WORKFLOW
1Reddit text
2NLP features
3Classification & views
Project overview
Project context & objective
This independent project examined language patterns in Reddit discussions through natural language processing, feature preparation and machine-learning classification, with visual outputs designed to communicate the analysis.
Unstructured discussion text is difficult to categorise consistently. This project explored extracting and interpreting language signals from Reddit text.
Unlike spreadsheet records, online discussion text is unstructured and context-sensitive. Slang, ambiguity, changing terminology and incomplete context make sentiment or topic classification difficult to interpret reliably. Mental-health-related text adds additional ethical considerations.
Methodology
From inputs to insights
The following stages explain the workflow and the technical decisions behind this project.
Feature engineering
The project explored turning written language into analysable features for classification. Text processing helps bridge unstructured content and statistical methods.
Classification exploration
scikit-learn was used to explore classification approaches. Model outputs represent classifications of language patterns, not assessments of individuals.
Visualising patterns
Tableau was used to present patterns and findings while recognising the interpretive limitations of social-media text.
Technology
Tools & methods
PythonNLTKscikit-learnTableau
Deliverables
Project outputs & learning
An exploratory text-analysis and classification workflow with Tableau-based presentation of patterns.
What I learned
Classification outputs need careful interpretation, especially for sensitive topics such as mental-health language.
Key deliverables
- Exploratory NLP workflow for Reddit discussion text
- Classification-oriented analysis using Python, NLTK and scikit-learn
- Tableau views presenting language patterns
Transferable skills
Skills & practical relevance
Handling unstructured information, documenting processing stages and considering the limitations of analytical outputs.
- Working with unstructured data
- Defining processing and classification stages
- Documenting uncertainty and data limitations
- Responsible presentation of sensitive analytical outputs
This is an independent exploratory project, not a clinical assessment tool. Dataset details, model-performance metrics and evidence of real-world deployment have not been provided.