Assessfy Pvt. Ltd Moderate 7 milestones 50 marks

Sentiment Analysis of Placement Data for Job Classification Using Naive Bayes and Suppo...

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About this project

Sentiment Analysis of Placement Data for Job Classification Using Naive Bayes and Support Vector Machine

Milestones
1.
2. Data collection and preparation
5 marks 5d
3. Preprocessing (tokenization, stop-word removal, vectorization)
5 marks 5d
4. Train/test split
5 marks 5d
5. Model building: Naive Bayes and SVM
5 marks 5d
6. Performance comparison (accuracy, precision, recall)
15 marks 5d
7. Report and visualization
15 marks 5d
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Skills you'll learn
Natural Language Processing (NLP) Machine Learning (Naive BayesSVM) Python Programming Data Cleaning & Tokenization Text Classification
Tools used
Python (NLTKscikit-learnpandasmatplotlib) Jupyter Notebooks Google Colab (for execution) CSV or survey datasets
Prerequisites
Basics of NLP Understanding of supervised learning Python basics and libraries (scikit-learnpandas)
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