Sentiment Analysis

Key	Value
Course Codes	BBT 4206, BFS 4102
Course Names	BBT 4206: Business Intelligence II (Week 10-12 of 13) and BFS 4102: Advanced Business Data Analytics (Week 10-12 of 13)
Semester	January to April 2026
Lecturer	Allan Omondi
Contact	aomondi@strathmore.edu
Note	The lecture contains both theory and practice. This notebook forms part of the practice. It is intended for educational purpose only. Recommended citation: BibTex

Repository Structure

.
├── 1_topic_modeling_using_LDA.ipynb
├── 2_sentiment_analysis.ipynb
├── LICENSE
├── README.md
├── RecommendedCitation.bib
├── admin_instructions
│   ├── instructions_for_postlab_cleanup.md
│   ├── instructions_for_project_setup.md
│   └── instructions_for_python_installation.md
├── assets
│   └── images
│       ├── activate_venv_pycharm.png
│       └── activate_venv_vscode.png
├── data
│   ├── 202511-ft_bi1_bi2_course_evaluation.csv
│   ├── processed_scaled_down_reviews.csv
│   ├── processed_scaled_down_reviews_with_topics.csv
│   └── processed_scaled_down_reviews_with_topics_and_sentiments.csv
├── lab_submission_instructions.md
├── model
│   ├── sentiment_classifier.pkl
│   ├── topic_labels.json
│   ├── topic_model_lda.pkl
│   ├── topic_vectorizer.pkl
│   └── topic_vectorizer_using_tfidf.pkl
├── requirements
│   ├── base.txt
│   ├── colab.txt
│   ├── constraints.txt
│   ├── dev.inferred.txt
│   ├── dev.lock.txt
│   ├── dev.txt
│   └── prod.txt
└── requirements.txt

7 directories, 28 files

Setup Instructions

• Setup Instructions

Lab Manual

Refer to the files below for more details:

1. 1_topic_modeling_using_LDA.ipynb
2. 2_sentiment_analysis.ipynb

Lab Submission Instructions

• Lab Submission Instructions

Cleanup Instructions (to be done after submitting the lab)

• Cleanup Instructions