https://github.com/ayax537/codsoft-task4
📣 Forth task on CodSoft Internship During my internship at CodSoft, I had the opportunity to develop a Spam SMS Detection model. The goal was to create a machine-learning solution to classify SMS messages as "ham" or "spam" automatically.
https://github.com/ayax537/codsoft-task4
bert classification flan-t5 tf-idf
Last synced: 27 days ago
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📣 Forth task on CodSoft Internship During my internship at CodSoft, I had the opportunity to develop a Spam SMS Detection model. The goal was to create a machine-learning solution to classify SMS messages as "ham" or "spam" automatically.
- Host: GitHub
- URL: https://github.com/ayax537/codsoft-task4
- Owner: ayax537
- Created: 2023-11-13T18:33:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-11T09:37:54.000Z (5 months ago)
- Last Synced: 2025-01-31T12:12:24.336Z (3 months ago)
- Topics: bert, classification, flan-t5, tf-idf
- Language: Python
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# codsoft-task4
📣 Forth task on CodSoft Internship
During my internship at CodSoft, I had the opportunity to develop a Spam SMS Detection model. The goal was to create a machine-learning solution to classify SMS messages as "ham" or "spam" automatically.
Here's a summary of the project:
1. Explored and visualized the dataset to understand the distribution of "ham" and "spam" messages.
2. Preprocessed the dataset by applying text operations, token visualization, and TF-IDF method for feature extraction.
3. Selected and implemented the Naive Bayes model for classification.
4. Explored BERT and FLAN-T5 models for evaluation and comparison.
The project aimed to enhance SMS message filtering for improved user experience and privacy. It was a valuable learning experience, and I'm eager to continue exploring new opportunities in the tech industry.