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19_​Analyse_​and_​Visualize_​Job_​Postings

Online Job Postings

The workflow perofrms text processing of the Job Posts dataset (only IT related postings)

The upper branch extracts the most frequent required skills and visualize them in the tag cloud.

The lower branch creates a stream graph depicting the demand for the 12 most frequent job titles over time.

Data Import String to Document transformationand POS tagging Preprocessing Prepare tags for visualization Visualize Filter data for visualization Transform data for visualization This workflow reads some job postings and extracts the most frequent required skills and job titles. computerelative termfrequency2000 mostfrequent terms selectonly proper nouns(NNP&NNPS)create tag cloud ofthe most frequent Required Qualificationsassign POSto each termcreate stream graphfor 12 most frequntJob Titlescreate bag ofwords for thecorpuscreatestring for 1st of Januaryfor each yearget data on filtered Job Titlescount number of occurencesof each Job Titlein each yearseparate columnof each Job Titlereplacemissing valueswith 0rename aggregatedcolumnsconvert created stringsto Date&Timeread Job Posts dataset(IT jobs only) TF Frequency Filter Tag Filter Tag Cloud Stanford Tagger Stacked Area Chart Bag Of WordsCreator String Manipulation ReferenceRow Filter GroupBy Pivoting Missing Value Column Rename(Regex) String to Date&Time Table Reader The 12 mostfrequent Job Titles Strings To Document Preprocessing Data Import String to Document transformationand POS tagging Preprocessing Prepare tags for visualization Visualize Filter data for visualization Transform data for visualization This workflow reads some job postings and extracts the most frequent required skills and job titles. computerelative termfrequency2000 mostfrequent terms selectonly proper nouns(NNP&NNPS)create tag cloud ofthe most frequent Required Qualificationsassign POSto each termcreate stream graphfor 12 most frequntJob Titlescreate bag ofwords for thecorpuscreatestring for 1st of Januaryfor each yearget data on filtered Job Titlescount number of occurencesof each Job Titlein each yearseparate columnof each Job Titlereplacemissing valueswith 0rename aggregatedcolumnsconvert created stringsto Date&Timeread Job Posts dataset(IT jobs only) TF Frequency Filter Tag Filter Tag Cloud Stanford Tagger Stacked Area Chart Bag Of WordsCreator String Manipulation ReferenceRow Filter GroupBy Pivoting Missing Value Column Rename(Regex) String to Date&Time Table Reader The 12 mostfrequent Job Titles Strings To Document Preprocessing

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: annamartin
Created at: 2017-11-16
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v4.1.0
Tags: NLPNatural Language Processing

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