Text Preprocessing

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In this tutorial, we delve into the crucial first steps of text preprocessing for effective text mining pipelines. Using the BBC3 dataset as an example, we explore key techniques such as tokenization, stopword removal, and normalization to improve data quality. Discover how to optimize your text data for machine learning and gain insights efficiently.

#textmining #machinelearning #orange #visualanalytics #datamining

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Presented by: Noah Novšak
Production and edit: Lara Zupan
Intro/outro: Agnieszka Rovšnik
Music by: Damjan Jović – Dravlje Rec

Orange Data Mining

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So how are the steps I have to do if I want orange to show a word cloud only for marketing terminology from an interview transcript?

fransfrancois

I need to save the clean and preprocessed word from orange in excel but whenever I save data it just revert back to the original data

khairulikhwanazman

does orange have Cumulatif distribuation function and probability distribution function to get out the results ?

eylmaz

I am finding it difficult to adapt all that to tweets written in Portuguese. Does orange have a solution?

gabrielapinto

does orange not support arabic? orange told "no text found" when i'm uploading my arabic corpus. any solution for this?🥲

nadiamaelaniulfah

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