Icon

Sentiment_​Analysis

Text Mining Course: Classification III (solution)

There has been no description set for this workflow's metadata.

Sentiment Analysis- Create document cells- Preprocess documents- Create document vectors for the set of documents- Extract sentiment class label and append color- Split data into training and test set- Train decision tree model and score it Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelTransformation of strings to documentsPreprocessing of documentsScore decisiontree modelRead imdb reviewsCategory To Class Color Manager Partitioning Decision TreePredictor Document Creation Preprocessing DecisionTree Learner Document Vector Scorer CSV Reader Sentiment Analysis- Create document cells- Preprocess documents- Create document vectors for the set of documents- Extract sentiment class label and append color- Split data into training and test set- Train decision tree model and score it Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelTransformation of strings to documentsPreprocessing of documentsScore decisiontree modelRead imdb reviewsCategory To Class Color Manager Partitioning Decision TreePredictor Document Creation Preprocessing DecisionTree Learner Document Vector Scorer CSV Reader

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Kilian
Created at: 2014-11-08
On NodePit since: 2023-02-06
Last update: 2024-04-28
Created with KNIME version: v4.7.0
Tags: educationsolution

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!