Minería de Textos
Diagrama semanal
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Enviar retroalimentación
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- You can work on your own, or work as a team of 2 people. In the latter case, please clearly state your names in the submitted notebook.
- The submitted notebook has to be in English (the English level won’t influence grading).
- The project is due by November 18, 11pm (local time).
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- Introduction
- Lecture 1 - Statistical properties of natural language
- Lab 1 - Manipulating text data with R
- Lecture 2 - Supervised text classification
- Introduction
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- Lecture 3 - Topic modeling and unsupervised text classification
- Lab 2 - Supervised and unsupervised text classification with R
- Lecture 4 - Representation learning for text mining
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