77 lines
2.1 KiB
Markdown
77 lines
2.1 KiB
Markdown
# RECLASS: Multi-Task Deep Learning for App Review Classification
|
|
|
|
**COMP6013 | Oxford Brookes University | 2025-26**
|
|
|
|
---
|
|
|
|
## Project Overview
|
|
|
|
RECLASS is a multi-task learning system which uses a shared BERT encoder with task-specific classification heads.
|
|
|
|
| Task | Output | Classes |
|
|
|------|--------|---------|
|
|
| Bug Report Detection | Binary | Yes / No |
|
|
| Feature Request Detection | Binary | Yes / No |
|
|
| Aspect Classification | Multi-class | Driver, App, Pricing, Service, Payment, General |
|
|
| Aspect Sentiment | Multi-class | Positive, Neutral, Negative |
|
|
|
|
## Dataset
|
|
|
|
- **Source**: [Uber Customer Reviews (Kaggle)](https://www.kaggle.com/datasets/khushipitroda/ola-vs-uber-play-store-reviews)
|
|
- **Original size**: 1,069,616 reviews
|
|
- **Cleaned size**: 495,036 reviews (after removing short/duplicate reviews)
|
|
- **Annotation target**: 5,000 manually labelled reviews
|
|
|
|
## Repository Structure
|
|
|
|
```
|
|
## Repository Structure
|
|
```
|
|
6013/
|
|
README.md
|
|
.gitignore
|
|
data/
|
|
uber_reviews.csv # Raw dataset
|
|
uber_reviews_cleaned.csv # Preprocessed reviews
|
|
uber_reviews_sampled.csv # Stratified sample for annotation
|
|
uber_reviews_tagged.csv # Annotated reviews (in progress)
|
|
notebooks/
|
|
preprocessing_uber.ipynb # Preprocessing analysis
|
|
uber_cleaned.ipynb # Cleaned data verification
|
|
src/
|
|
preprocess.py # Text cleaning and filtering pipeline
|
|
sampler.py # Stratified sampling strategies
|
|
multitag.py # GUI annotation tool
|
|
train.py # Model training (in progress)
|
|
infer.py # Inference pipeline (in progress)
|
|
outputs/
|
|
figures/
|
|
```
|
|
|
|
## Current Progress
|
|
|
|
- Manual annotation of 5,000 reviews
|
|
- BERT baseline implementation
|
|
- Multi-task model architecture
|
|
- Training and evaluation
|
|
- Comparative analysis (MTL vs single-task)
|
|
- Final report and presentation
|
|
|
|
## Installation
|
|
|
|
```
|
|
# Clone repository
|
|
...
|
|
# Create conda environment
|
|
...
|
|
# Install dependencies
|
|
...requirements.txt
|
|
```
|
|
|
|
## Usage
|
|
## References
|
|
## Licenses
|
|
|
|
---
|
|
|
|
*Last updated: January 2025* |