Skip to content

Latest commit

 

History

History
14 lines (11 loc) · 797 Bytes

File metadata and controls

14 lines (11 loc) · 797 Bytes

Emotion-and-Sentiment-Classification

1 - Environment Set Up & Directory Structure:

  1. Download the entire content of this repository onto your local machine.
  2. Open terminal and CD the folder path that you downloaded the repository content into.
  3. Type 'jupyter notebook' and it should open a tab in browser with the file contents.
  4. Ensure Python 3.8 is running.
  5. Report Directory 5.1 'word_features.ipynb' contains Dataset Preparation & Analysis, and Words as Features models 5.2 'performance.docx' contains detailed performance metrics for the words as features models 5.3 'embedding_features.ipynb' contains Dataset Preparation & Analysis, and Embeddings as Features models 5.4 'analysis.docx' contains report analysis on the dataset and model perfomances