- SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings
- It is superfast 5 seconds vs 50 hours with BERT SBERT can be tuned in less than 20 minutes, while yielding better results than comparable sentence embed�ding methods.
- It can be used for both classification and regression
- Text summarization is commonly used by several websites and applications to create news feed and article summaries.
- Summarization is a technique to shorten long texts such that the summary has all the important points of the actual document.
- Extractive Summarization: The extractive approach involves picking up the most important phrases and lines from the documents.
- Abstractive Summarization: it uses new phrases and terms, different from the actual document, keeping the points the same, just like how we actually summarize. So, it is much harder than the extractive approach.