LangChain in your Pocket

Chapter 10: LangChain for NLP problems

This is a special chapter that explains how to solve different NLP problems using LangChain. This will involve how can you automatically do every task, be it embeddings generation, text preprocessing, NER and whatnot. Let’s list down a few solutions we will be walking through.

 

1. Summarization
2. Text Tagging and Classification
3. Named Entity Recognition (NER)
4. Text Embeddings
5. Few-Shot Learning
6. POS Tagging, Segmentation and others

10.1 Summarization

Text summarization is the process of condensing a piece of text, whether it's a document, article, or other content, into a concise and coherent summary. The aim is to capture the essential information, main ideas and key points while reducing the overall length ...