Document Embedding
In this video, we will take a look at document embeddings in text analysis. We learn how to load datasets, embed text, classify documents, and interpret results using techniques such as t-SNE visualization.
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).
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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
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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)
On this page of the site you can watch the video online Document Embedding with a duration of hours minute second in good quality, which was uploaded by the user Orange Data Mining 16 April 2024, share the link with friends and acquaintances, this video has already been watched 3,072 times on youtube and it was liked by 58 viewers. Enjoy your viewing!
