Reading
The material on the following sites is important and should be read either before or after studying this section.
Extractive Text Summarization using Contextual Embeddings
Satish Silveri
March 9, 2021
Read: Extractive Text Summarization using Contextual Embeddings
The following sites may be used for reference.
Sentence Transformers: Multilingual Sentence, Paragraph, and Image Embeddings using BERT & Co.
sklearn.feature_extraction.text.TfidfVectorizer
Python Code
This section uses the Python code Sentences_KMeans_Example.py (Jupyter Notebook Sentences_KMeans_Example.ipynb).