Word Clustering
Channel: Orange Data Mining
Date: 2023-11-28

The video shows how to cluster words semantically. We use Orange widgets to embed text in vector spaces, and then use the vector representation in hierarchical clustering and t-SNE dimensionality reduction.

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

Intro to Data Science: https://youtube.com/playlist?list=PLmNPvQr9Tf-b_SuBdoRsuNhTmaHJ0eKab&si=5Ffp8N6prwj1ikWJ
MDS: https://youtu.be/_CzYVI8axao?si=4xQxP9s8CxUYuv7R
PCA: https://youtu.be/QSvpHo4p44M?si=PqToG6spR9A5d6z8

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
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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)