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CI Customer Intelligence Deployment Sentiment Sentiment analysis Churn DB Database Snowflake
  1. Workflow
    Topic Models from Reviews
    Marketing Analytics Regression R script
    +5
    This workflow addresses the problem of extracting and modeling topics from reviews. Block 1 performs the data preparation on revi…
    knime > Machine Learning and Marketing > Consumer Mindset Metrics > CX and Topic Models > Topic Models from reviews
    4
    knime
  2. Workflow
    Brand Reputation Tracker
    Brand Reputation Text Mining Marketing Analytics
    +1
    This workflow is based on the Brand Reputation Tracker, a marketing reserach tool that was developed by Rust et al. (2021) and pu…
    knime > Machine Learning and Marketing > Consumer Mindset Metrics > Brand Reputation > Brand Reputation Tracker
    2
    knime
  3. Workflow
    Attribution Models: Touch-based, Correlation and Regression, Shapley-based, and Randomized field experiments
    Marketing Analytics Attribution Models Logistic Regression
    +3
    This workflow is based on the book chapter "Attribution Modelling" by de Haan (2022). It replicates the analysis of the book chap…
    knime > Machine Learning and Marketing > Consumer Behavior > Attribution Models > Attribution Models - Touch-based, Correlation and Regression, Shapley-based, and Randomized field experiments
    2
    knime
  4. Workflow
    Deploying a churn predictor
    Customer Intelligence CI Churn
    +4
    This workflow is an example of how to deploy a basic machine learning model (built in workflow "01_Training_a_Churn_Predictor") f…
    knime > Machine Learning and Marketing > Consumer Behavior > Churn Prediction > 02_Deploying_a_Churn_Predictor
    1
    knime
  5. Workflow
    Extraction of Image Labels and Dominant Colors
    Marketing Analytics Colour Dominance Label Detection
    +2
    This workflow uses the Google Vision API to extract image properties, detect labels, and determine color dominance. It then imple…
    knime > Machine Learning and Marketing > Other Analytics > Image Analysis > Google Cloud Vision & Image Features > Image_colour_label
    1
    knime
  6. Workflow
    Deploying a Sentiment Analysis Predictive Model - Deep Learning using an Recurrent Neural Network (RNN)
    Sentiment analysis Sentiment Deployment
    +3
    This workflow applies an RNN, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on ne…
    roberto_cadili > A Friendly Introduction to Codeless Deep Learning > RNN-LSTM Sentiment Analysis > Deploying Sentiment Predictor - Deep Learning
    0
    roberto_cadili
  7. Workflow
    Image Feature Mining: Colour Dominance and Label Detection
    Marketing Analytics Colour Dominance Label Detection
    +2
    This workflow takes advantage of Google Vision API to extract image properties, detect labels, determine colour dominance and vis…
    roberto_cadili > Marketing Challenge KNIME & LUISS > Image Feature Mining - Colour Dominance and Label Detection
    0
    roberto_cadili
  8. Workflow
    Topic Models from Reviews
    Marketing Analytics Regression R script
    +5
    This workflow addresses the problem of extracting and modeling topics from reviews. Block 1 performs the data preparation on revi…
    kyunginryu > Public > Topic Models from reviews
    0
    kyunginryu
  9. Workflow
    Deploying a Sentiment Analysis Predictive Model - Supervised Machine Learning
    Sentiment analysis Sentiment Machine learning
    +5
    This workflow applies an SVM model, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment),…
    knime > Machine Learning and Marketing > Consumer Mindset Metrics > Sentiment Analysis > Traditional ML > Deploying Sentiment Predictor
    0
    knime
  10. Workflow
    Price optimization: value-based pricing and regression
    Marketing Analytics Pricing Analytics Price optimization
    +4
    "Pricing Analytics" by STAR COOPERATION Use-Case: Price optimization for an e-commerce shop (fictive data set) Pricing Analytics …
    knime > Machine Learning and Marketing > Marketing Mix > Price optimization - value-based pricing and regression
    0
    knime
  11. Workflow
    Topic Models from Reviews
    Marketing Analytics Regression R script
    +5
    This workflow addresses the problem of extracting and modeling topics from reviews. Block 1 performs the data preparation on revi…
    sghoshnbu > Public > Topic Models from reviews
    0
    sghoshnbu
  12. Workflow
    Topic Models from Reviews
    Marketing Analytics Regression R script
    +4
    This workflow addresses the problem of review topics. Block 1 performs the data preparation on review texts. Block 2 applies the …
    mgfau > Public > Workflow_IB_literature_analysis
    0
    mgfau
  13. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…
    knime > Machine Learning and Marketing > Segmentation and Personalization > Customer Segmentation > Clustering_for_Customer_Segmentation
    0
    knime
  14. Workflow
    Customer Data Anonymization
    Data engineering Data anonymization Data protection
    +2
    This workflow demonstrates how to anonymize identifying and quasi-identifying attributes of customer data, evaluate the risks of …
    knime > Machine Learning and Marketing > Data Protection and Privacy > Customer Data Anonymization > 01 Customer Data Anonymization
    0
    knime
  15. Workflow
    Overall Blog Performance Dashboard
    Content editor Marketing Analytics Data App
    +1
    This workflow retrieves data from Google Analytics for the KNIME Blog. The interactive dashboard includes a: - Line plot showing …
    knime > Machine Learning and Marketing > Consumer Behavior > MoM Blog Performance-for Hub
    0
    knime
  16. Workflow
    Deploying a Sentiment Analysis Predictive Model - Deep Learning using an Recurrent Neural Network (RNN)
    Sentiment analysis Sentiment Deployment
    +3
    This workflow applies an RNN, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on ne…
    knime > Machine Learning and Marketing > Consumer Mindset Metrics > Sentiment Analysis > Deep Learning > Deploying Sentiment Predictor - Deep Learning
    0
    knime
  17. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +7
    The workflow performs customer segmentation by k-Means clustering. The second part of the workflow implements an interactive dash…
    knime > Machine Learning and Marketing > Segmentation and Personalization > Customer Segmentation > Labelling_Customer_group_from a web_browser
    0
    knime
  18. Workflow
    Market Basket Analysis: Apply Association Rules
    Retail Association rules Recommandation engine
    +10
    This workflow takes pre-built association rules and applies them to a new set of data 1. Read Association Rules and Product data …
    knime > Machine Learning and Marketing > Segmentation and Personalization > Market Basket Analysis > 02_Apply_Association_Rules_for_MarketBasketAnalysis
    0
    knime
  19. Workflow
    Market Basket Analysis: Building Association Rules
    Retail Association rules Recommandation engine
    +11
    This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm. 1. Re…
    knime > Machine Learning and Marketing > Segmentation and Personalization > Market Basket Analysis > 01_Build_Association_Rules_for_MarketBasketAnalysis
    0
    knime
  20. Workflow
    Visualizing Twitter Network with a Chord Diagram
    Data Visualization Twitter Dataviz
    +6
    In this workflow we will: - Read the dataset listing tweets with hashtag #KNIME between end of July 2021-beginning of August 2021…
    knime > Machine Learning and Marketing > Other Analytics > 03_Visualizing_Twitter_Network_with_a_Chord_Diagram
    0
    knime