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In this video, we dive into document vectorization, a crucial step in preparing text data for machine learning. We'll focus on the ...

The video shows how to cluster words semantically. We use Orange widgets to embed text in vector spaces, and then use the ...

In this video, you will learn about the first steps when working with the Text Mining add-on of the Orange Data Mining program.

In this video you will learn how to find semantically related words. The video shows how to enter text into Orange and find related ...

In this tutorial we will look at word classification. We will demonstrate step-by-step how to build a classifier to predict food types.

How to work with text in Orange, perform text preprocessing and create your own custom stopword list. For more information on ...

We use Orange Data Mining to mine the textual descriptions of cookies. We also show two Orange widgets that interface with ...

Text mining with Orange. Learn about Orange components that we have designed for analysis of text. The series includes tutorials ...

This lesson introduces the General Theory of Terminology and its premises, and then presents ways to define concepts and to ...

How to import your own text files, create corpus and define custom class values from scratch. License: GNU GPL + CC Music by: ...

Text-mining is one of many data-mining techniques that social scientists are using to turn unstructured (or more accurately, ...

minecraft #roblox i was in a hurry so i gave up i could have made this video a little better by now much my viewers dont watch me ...

Building a corpus for term mining: specialised corpora, representativeness, corpus-based techniques for term mining.

Building a corpus for term mining: specialised corpora, representativeness, corpus-based techniques for term mining.

Retrieving data from Twitter in Orange, preprocessing tweets, and using topic modeling to extract interesting topics from text.

Text-mining is one of many data-mining techniques that social scientists are using to turn unstructured (or more accurately, ...

Presenting an alternative way of describing documents with numbers - by using word embeddings. A short showcase of the ...

Computing sentiment scores from Twitter data and observing the scores in a Heat Map. Please follow Twitter terms and conditions ...

Approaches to term mining: statistical, linguistic, hybrid & machine learning. An overview of term extraction tools.

Mining Terms with SketchEngine I: Setting up the corpus, finding keywords, Extracting terms with in-built term grammar and ...