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Sentiment_​Analysis

Text Mining Course: Classification III (solution)

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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

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Created by: Kilian
Created at: 2014-11-08
On NodePit since: 2023-02-06
Last update: 2024-11-18
Created with KNIME version: v4.7.0
Tags: educationsolution

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