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