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Example 2 - Airlines Recommendation (Skytrax reviews)

Customer Comments Minning Use Case: Data Preparation

We took dataset from Skytrax - Air Travel review website (www.airlinequality.com) as an independent customer forum, which has become a leading review site for airline, airport and associated air travel traveller reviews. This website has no financial association or affiliation with any airline or airport featured.

The Skytrax name is associated with Quality Excellence throughout the world by the air transport industry, and is recognised for it’s Airline and Airport Star Rating, the World Airline Awards and Airport Awards

Example: consider a dataset from Skytrax - Air Travel review website (www.airlinequality.com) as an independent customer forum, which has become a leading reviewsite for airline, airport and associated air travel traveller reviews. This website has no financial association or affiliation with any airline or airport featured.The Skytrax name is associated with Quality Excellence throughout the world by the air transport industry, and is recognised for it’s Airline and Airport Star Rating, theWorld Airline Awards and Airport Awards This workflow contains three parts:1- Data importing and Manipulation 2- Text Processing: In this part, text mining methods have been applied to pre-process the customers' comments to create feature set (word embeddings) for buildingsentiment analysis model.3- Classification model: Gradient Boosted Trees is being used to build powerful sentiment prediction. The goal is to predict the target variable "Recommend" given thecustomers' comment. 10 hiddenunitsRead modelwith 200 word embeddingscreated with Word2Vec10 Word Embeddings200 Word Embeddings Text Preprocessing Data Importing& Manipulation Word2Vec Learner Word Vector Apply Word VectorModel Reader Word Vector Apply Visualizeembeddings Model 1 Model 2 Example: consider a dataset from Skytrax - Air Travel review website (www.airlinequality.com) as an independent customer forum, which has become a leading reviewsite for airline, airport and associated air travel traveller reviews. This website has no financial association or affiliation with any airline or airport featured.The Skytrax name is associated with Quality Excellence throughout the world by the air transport industry, and is recognised for it’s Airline and Airport Star Rating, theWorld Airline Awards and Airport Awards This workflow contains three parts:1- Data importing and Manipulation 2- Text Processing: In this part, text mining methods have been applied to pre-process the customers' comments to create feature set (word embeddings) for buildingsentiment analysis model.3- Classification model: Gradient Boosted Trees is being used to build powerful sentiment prediction. The goal is to predict the target variable "Recommend" given thecustomers' comment. 10 hiddenunitsRead modelwith 200 word embeddingscreated with Word2Vec10 Word Embeddings200 Word EmbeddingsText Preprocessing Data Importing& Manipulation Word2Vec Learner Word Vector Apply Word VectorModel Reader Word Vector Apply Visualizeembeddings Model 1 Model 2

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Created by: Olgun_Aydin
Created at: 2018-05-30
On NodePit since: 2023-12-06
Last update: 2026-01-30
Created with KNIME version: v4.6.3

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