Word Classification

In this tutorial we will look at word classification. We will demonstrate step-by-step how to build a classifier to predict food types. Next, we evaluate model accuracy, look at misclassifications, and extend predictions to new foods. To download the words data file, go to http://file.biolab.si/files/words-food.xlsx. Or, load this data using the Dataset widget, where you will see that the target variable is already set to category. We have introduced the Test and Score, Logistic Regression, Confusion Matrix, and Predictions widgets; see classification-related videos from our Intro to Data Science series at: https://www.youtube.com/watch?v=7I3d0HdUjsk&list=PLmNPvQr9Tf-b_SuBdoRsuNhTmaHJ0eKab&index=29 This video is a part of the Text Mining video series that dives into machine learning, visual analytics, and the joys of interactive analysis of text documents using Orange Data Mining software (https://orangedatamining.com). The word data set used in this video: http://file.biolab.si/datasets/words.xlsx SUBSCRIBE to our channel: http://youtube.com/orangedatamining The development of this video series was supported by grants from the Slovenian Research Agency (including P2-0209, V2-2274, and L2-3170), Slovenia Ministry of Digital Transformation, European Union (including xAIM and ARISA) and Google.org/Tides foundation. #textmining #machinelearning #orange #visualanalytics #datamining __ Written by: Blaž Zupan (http://biolab.si/blaz), Ajda Pretnar Žagar Presented by: Noah Novšak Production and edit: Lara Zupan Intro/outro: Agnieszka Rovšnik Music by: Damjan Jović – Dravlje Rec Orange is developed by Biolab at University of Ljubljana (https://www.biolab.si)