README.md

Advanced-NLP-Projects

SBERT SentenceTransformers

1. SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings
2. 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.
3. It can be used for both classification and regression

Extractive Text Summarization using LexRank

1. Text summarization is commonly used by several websites and applications to create news feed and article summaries.
2. Summarization is a technique to shorten long texts such that the summary has all the important points of the actual document.

Type of Summarization

1. Extractive Summarization: The extractive approach involves picking up the most important phrases and lines from the documents.
2. 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.

LexRank

https://www.aaai.org/Papers/JAIR/Vol22/JAIR-2214.pdf

Text to Image search