5 NLP Tasks for Unsupervised Signaling

Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks

Rob van Zoest
innerdoc.com

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Periodic Table of Natural Language Processing Tasks by www.innerdoc.com and created with the Periodic Table Creator
Periodic Table of Natural Language Processing Tasks is created with the Periodic Table Creator

Russian chemist Dmitri Mendeleev published the first Periodic Table in 1869. Now it’s time for the NLP tasks to be organized in the Periodic Table style!

The variation and structure of NLP tasks is endless. Still, you can think about building NLP Pipelines based on standard NLP tasks and dividing them into groups. But what do these tasks entail?

More than 80 frequently used NLP tasks are explained!

Group 11 : Unsupervised Signaling

53. Keyword Extraction

Provide the most relevant words from this document. That is the task of keyword extraction. It is often used as a starting point when doing unsupervised text analytics. The term Keywords is also known as common phrases , multi-word expressions and word n-gram collocations.

Calculating keywords can for example be done by the Textrank algorithm or by detecting Ngrams.

54. Extractive Summarization

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Rob van Zoest
innerdoc.com

Founder @ innerdoc.com | NLP Expert-Engineer-Enthusiast | Writes about how to get value from textual data | linkedin.com/in/robvanzoest/