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04_​Rest_​API_​Sentiment_​Prediction

REST API for Sentiment Analysis

This workflow showcases the Rest API capabilities of the KNIME Server. We are reusing the model trained on the airline reviews and providing sentiment analyis as a service.

REST API for Sentiment AnalysisThis workflow showcases the Rest API capabilities of the KNIME Server.We are reusing the model trained on the airline reviews and providingsentiment analyis as a service.Please try our corresponding responsive, mobile ready application to seesentiment prediction in action. Filter all columnsexcept the documentcolumnConvert strings toto documentsExtract recomended label Create term vector of the test set with identicalfeature space of thetraining setPreprocessing of documentspredict sentimentAssigning text to predicted classesinput one or morecomments as JSONreadcommentsungroupcommentsOutput prediction andconfidenceNode 368Reading Document VectorNode 370 Column Filter Strings To Document Category To Class DocumentVector Applier Preprocessing Gradient Boosted TreesPredictor (deprecated) Rule Engine ContainerInput (JSON) JSON Path Ungroup ContainerOutput (JSON) Table to JSON Empty valuehandling Model Reader Model Reader REST API for Sentiment AnalysisThis workflow showcases the Rest API capabilities of the KNIME Server.We are reusing the model trained on the airline reviews and providingsentiment analyis as a service.Please try our corresponding responsive, mobile ready application to seesentiment prediction in action. Filter all columnsexcept the documentcolumnConvert strings toto documentsExtract recomended label Create term vector of the test set with identicalfeature space of thetraining setPreprocessing of documentspredict sentimentAssigning text to predicted classesinput one or morecomments as JSONreadcommentsungroupcommentsOutput prediction andconfidenceNode 368Reading Document VectorNode 370 Column Filter Strings To Document Category To Class DocumentVector Applier Preprocessing Gradient Boosted TreesPredictor (deprecated) Rule Engine ContainerInput (JSON) JSON Path Ungroup ContainerOutput (JSON) Table to JSON Empty valuehandling Model Reader Model Reader

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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: Csaba_Brunner
Created at: 2018-06-25
On NodePit since: 2019-07-12
Last update: 2024-04-17
Created with KNIME version: v3.6.0

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