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JKI-3-13 - Using ChatGPT 4o Mini for Document Outlier Detection

Parse data

Data source:

alinebessa/Just KNIME It! Season 3 - Datasets – Challenge 13 - Dataset – KNIME Community Hub

ENTER YOUR API KEY
Credentials Configuration
OpenAI Authenticator
OpenAI Chat Model Connector
DOWNLOAD FILES AND READFROM YOUR OWN DIRECTORY
PDF Parser
View PDF Texts
Document Viewer
Conct all contracts into onemassive string
GroupBy
Isolate AI response
Row Filter
Prompt LLM to extract info from contracts
Chat Model Prompter
Make the contract ID come first
Column Resorter
View AI analysisof outliers
Tile View (JavaScript)
Ungroup
Table Row to Variable
Cell Splitter
Prompt LLM to analyze contracts
Chat Model Prompter
Cell Splitter
isolate AI response
Row Filter
Rename combined string to 'Contracts'
Column Renamer
Column Renamer
Column Filter
remove 'euros'
String Replacer
visualize outliers
Box Plot
Drop document column
Column Filter
Identify outlierset to replace with missing
Numeric Outliers
contract amount tonumber
String to Number
Extract pdf title and text
Document Data Extractor
Conct contract ID and text
Column Combiner
Measures of central tendency per contract
GroupBy
Extract Contract ID
String Manipulation
table structure
Table Creator

Nodes

Extensions

Links

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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: sntra
Created at: 2024-08-13
On NodePit since: 2024-08-25
Last update: 2026-11-10
Created with KNIME version: v5.3.1

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