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460-NLP-Sentiment-Analysis

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