This is a document's semantic meaning evaluation tool. It captures the contextual meaning of a document and compares it with other document's contextual meaning stored in its dataset.

• Clone the repository
• Open terminal and write pip install requirements.txt
• Put the path of your dataset or if you have pre-created vector word embeddings then put the path of that in the source vector
• Change number of datapoints according to your choice
• Run streamlit run main.py
• Enjoy