COMP S460F GROUP PROJECT 2023 Autumn
- Performed data cleaning and preprocessing of over 200 Youtube comments using Python packages, including nltk
- Implemented TF-IDF vectorization to find the meaning of each word using Python packages, including TfidfVectorizer
- Created a SVM classifier to conduct sentiment analysis on the YouTube comments
- Leveraged Python libraries, including sklearn, pandas, numpy and matplotlib, for training the SVM classifier
- Achieved accuracy of over 80% in the training and testing phase