Get a grip on the Natural Language Processing landscape!
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 included in 15 groups!
Task Groups
- Source Data Loading 💾 Tasks from this group care about the textual data to do NLP analysis on.
- Training Data Generation 💎 Generating gold data which is needed for…
The details you need to create a package for a Streamlit component. An example for a timeline visualization!
Streamlit is a Python library that let’s you build and share data apps in a fast way. You can turn data scripts into shareable web apps, with no front-end experience required.
TimelineJS is an open-source JavaScript tool that enables anyone to build visually rich, interactive timelines. It is a project from the Northwestern University Knight Lab.
Why?
By wrapping the one into the other, it will be easy to create a timeline for everyone. Streamlit has specially developed…
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 15 : Information Visualization
75. Interactive App Creation
Presenting your NLP task results should be transparent, interactive and fancy. Several solutions are available to share your data and code. Notebooks are open-source web applications that allows you to create and…
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 14 : NLP Systems
69. Relation Extraction
Relationship extraction is the task of extracting semantic relationships from a text. A relation can be defined as a connection between entities. There are different ways of extracting relations:
- Simple deduction: use…
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 13 : Natural Language Generation
63. Next Token Prediction
Can I help you by predicting the next word you will type? A lot of apps are using this auto-complete feature to please the user.
N-gram language models can be used as…
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 12 : Similarity
58. WordNet Synsets
WordNet is a lexical database from Princeton. It consists of nouns, verbs, adjectives and adverbs which are grouped into sets of synonyms (synsets), hyponyms, meronyms and hypernyms with descriptions. …
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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. …
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 10 : Supervised Classification
48. Spam Detection
Spam Detection is one of the oldest applications of NLP and is a frequently seen use case for demo’s and tutorials. …
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 9 : NLP Model Development
43. Training Models
Training NLP models is a broad topic. It’s best to start light and improve later. You can start by building a rulebased model for two hours and experience how good it scores…
Get a grip on the Natural Language Processing landscape! Start your NLP journey with this Periodic Table of 80+ NLP tasks
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 8 : Documents
39. Deduplication
Deduplication is a relevant task if you have little control over your input data collection. For example, you can have a lot of duplicate documents when scraping internet articles or using tweets.
Rob van Zoest
Founder @ innerdoc.com | NLP Expert-Engineer-Enthusiast | Writes about how to get value from textual data | linkedin.com/in/robvanzoest/
