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RSK World
text-classification
RSK World
text-classification
Text Classification Dataset - NLP + Multi-Class Classification + Machine Learning
text-classification
  • assets
  • data
  • models
  • notebooks
  • scripts
  • .gitignore1.4 KB
  • CHANGELOG.md2.6 KB
  • LICENSE3.2 KB
  • README.md11.1 KB
  • classifier.html34.1 KB
  • dashboard.html41.4 KB
  • explorer.html41.4 KB
  • index.html28.4 KB
  • requirements.txt1.8 KB
  • text-classification.svg4.6 KB
CHANGELOG.md
CHANGELOG.md
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CHANGELOG.md

<!--
================================================================================
Text Classification Dataset - Changelog
================================================================================
Author: Molla Samser
Website: https://rskworld.in
Copyright (c) 2026 RSK World - All Rights Reserved
================================================================================
-->

# Changelog

All notable changes to the Text Classification Dataset project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [1.0.0] - 2026-12-26

### Added

#### Core Features
- Multi-class text classification dataset with 6 categories
- Training, validation, and test data splits (CSV format)
- JSON and TXT data formats
- Comprehensive preprocessing module

#### Web Interface
- **index.html** - Main project showcase page
- **explorer.html** - Interactive data explorer with search and filtering
- **classifier.html** - Real-time text classifier with live predictions
- **dashboard.html** - Model comparison dashboard with visualizations

#### Python Scripts
- **preprocessing.py** - Text preprocessing utilities
- **train_classifier.py** - Traditional ML model training (Naive Bayes, Logistic Regression, SVM)
- **train_transformers.py** - Transformer-based model training (BERT)
- **data_augmentation.py** - Text data augmentation techniques
- **visualizations.py** - Data visualization utilities
- **api_server.py** - Flask REST API server
- **model_explainability.py** - LIME-based model explanations
- **batch_processor.py** - Batch prediction and evaluation
- **hyperparameter_tuning.py** - GridSearch and Optuna tuning
- **deep_learning.py** - PyTorch deep learning models
- **data_quality.py** - Data quality analysis
- **active_learning.py** - Active learning module

#### Jupyter Notebook
- **text_classification_tutorial.ipynb** - Comprehensive tutorial notebook

#### Documentation
- README.md with detailed project information
- LICENSE file (Educational Use License)
- requirements.txt with all dependencies
- CHANGELOG.md (this file)

### Categories
- Technology (0)
- Sports (1)
- Politics (2)
- Entertainment (3)
- Business (4)
- Science (5)

---

## Author Information

**Author:** Molla Samser
**Designer & Tester:** Rima Khatun
**Website:** [https://rskworld.in](https://rskworld.in)
**Email:** help@rskworld.in | support@rskworld.in
**Phone:** +91 93305 39277

**Copyright (c) 2026 RSK World - All Rights Reserved**

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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