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Depression in Society Media

This process employs three distinct strategies using Language Models (LLMs) for sentiment analysis. It demonstrates their application in predicting sentiment from a social media comments dataset through the utilization of LLMs and effective prompt engineering.

Nodes

  • Giskard LLM Scanner8 ×
  • Missing Value4 ×
  • Rule Engine4 ×
  • Scorer4 ×
  • Credentials Configuration2 ×
  • Dictionary Tagger2 ×
  • Row Sampling2 ×
  • Shuffle2 ×
  • Bag Of Words Creator1 ×
  • CSV Reader1 ×
  • Capture Workflow End1 ×
  • Capture Workflow Start1 ×
  • Category To Class1 ×
  • Column Appender1 ×
  • Column Filter1 ×
  • Crosstab1 ×
  • Duplicate Row Filter1 ×
  • Excel Reader1 ×
  • Linear Correlation1 ×
  • Math Formula1 ×
  • Pivoting1 ×
  • String Manipulation1 ×
  • String Manipulation (Multi Column)1 ×
  • Strings To Document1 ×
  • TF1 ×
  • Table Creator1 ×
  • Tag Filter1 ×
  • Tags To String1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Excel Support
  • FeatureKNIME Integrated Deployment
  • FeatureKNIME Javasnippet
  • FeatureKNIME Math Expression (JEP)
  • Show all 7 modules

Links

  • No links available

Download

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

Download Workflow
Created by: roberto.cadili
Created at: 2023-08-18
On NodePit since: 2025-04-30
Last update: 2026-01-07
Created with KNIME version: v5.4.2
Tags: solutionLLMsSentiment Analysis

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