A Brief Guide to NLP Has Been Released

Natural language processing with code for the 10 most common tasks. And it’s all free! I think it’s a nice introduction. Perhaps it isn’t always the very latest development, as the author mentions, but he has certainly done a good job of succinctly summarising various research papers, blogs, competitions, and datasets. For most tasks, the author has also included a quick code example. If you’re not a master in NLP, it could be a great way to get your bearings.

Topics Covered:

1. Stemming
2. Lemmatization
3. Word Embeddings
4. Part-of-Speech Tagging
5. Named Entity Disambiguation
6. Named Entity Recognition
7. Sentiment Analysis
8. Semantic Text Similarity
9. Language Identification
10. Text Summarisation

Source: https://www.analyticsvidhya.com/blog/2017/10/essential-nlp-guide-data-scientists-top-10-nlp-tasks/?utm_source=mail&utm_medium=sendy&utm_campaign=12_Jan_2019_NLP_Blog_Subs&fbclid=IwAR30_xDAB15LaMlTYIViRrEk_1dN4rpao84-BD26_JyCtgtzQYCPDEVRRBM