Ambos lados, revisión anteriorRevisión previaPróxima revisión | Revisión previa |
materias:pln:uba2018:teoricos [2018/02/23 03:23] – francolq | materias:pln:uba2018:teoricos [2018/08/10 03:03] (actual) – editor externo 127.0.0.1 |
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* [[http://nbviewer.ipython.org/url/cs.famaf.unc.edu.ar/~francolq/Etiquetado%20de%20Secuencias%20Parte%202.ipynb|Etiquetado de Secuencias Parte 2 (Jupyter notebook)]] | * [[http://nbviewer.ipython.org/url/cs.famaf.unc.edu.ar/~francolq/Etiquetado%20de%20Secuencias%20Parte%202.ipynb|Etiquetado de Secuencias Parte 2 (Jupyter notebook)]] |
* [[http://nbviewer.ipython.org/url/cs.famaf.unc.edu.ar/~francolq/Etiquetado%20de%20Secuencias%20Parte%203.ipynb|Etiquetado de Secuencias Parte 3 (Jupyter notebook)]] | * [[http://nbviewer.ipython.org/url/cs.famaf.unc.edu.ar/~francolq/Etiquetado%20de%20Secuencias%20Parte%203.ipynb|Etiquetado de Secuencias Parte 3 (Jupyter notebook)]] |
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| ===== 6ta Clase: 22 de febrero ===== |
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| * Clasificación de texto: |
| * [[https://www.youtube.com/watch?v=c3fnHA6yLeY&index=24&list=PL6397E4B26D00A269|What is Text Classification]] |
| * [[https://www.youtube.com/watch?v=DdYSMwEWbd4&index=25&list=PL6397E4B26D00A269|Naive Bayes]] |
| * [[https://www.youtube.com/watch?v=TpjPzKODuXo&index=26&list=PL6397E4B26D00A269|Formalizing the Naive Bayes Classifier]] |
| * [[https://www.youtube.com/watch?v=0hxaqDbdIeE&index=27&list=PL6397E4B26D00A269|Naive Bayes- Learning]] |
| * [[https://www.youtube.com/watch?v=ALna9TjBS8Q&index=28&list=PL6397E4B26D00A269|Naive Bayes- Relationship to Language Modeling]] |
| * [[https://www.youtube.com/watch?v=pc36aYTP44o&index=29&list=PL6397E4B26D00A269|Multinomial Naive Bayes- A Worked Example]] |
| * [[https://www.youtube.com/watch?v=2akd6uwtowc&index=30&list=PL6397E4B26D00A269|Precision Recall and the F measure]] |
| * [[https://www.youtube.com/watch?v=OwwdYHWRB5E&index=31&list=PL6397E4B26D00A269|Text Classification- Evaluation]] |
| * [[https://www.youtube.com/watch?v=uS58no0_9M4&index=32&list=PL6397E4B26D00A269|Practical Issues in Text Classification]] |
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| ===== 7ma Clase: 27 de febrero ===== |
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| * Análisis de Sentimiento: |
| * [[https://www.youtube.com/watch?v=sxPBv4Skj98&index=33&list=PL6397E4B26D00A269|What is Sentiment Analysis]] |
| * [[https://www.youtube.com/watch?v=b9UJ6W0jG1M&index=34&list=PL6397E4B26D00A269|Sentiment Analysis- A baseline algorithm]] |
| * [[https://www.youtube.com/watch?v=Rv3f1FKzwjM&list=PL6397E4B26D00A269&index=35|Sentiment Lexicons]] |
| * [[https://www.youtube.com/watch?v=_4StZbIYKm8&list=PL6397E4B26D00A269&index=36|Learning Sentiment Lexicons]] |
| * [[https://www.youtube.com/watch?v=WJP3Pr9PP_8&list=PL6397E4B26D00A269&index=37|Other Sentiment Tasks]] |
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| Parte práctica: |
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| * [[http://nbviewer.ipython.org/url/cs.famaf.unc.edu.ar/~francolq/Análisis%20de%20Sentimiento.ipynb|Análisis de Sentimiento (Jupyter notebook)]] |
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| ===== 8va Clase: 1 de marzo ===== |
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| * PLN con Deep Learning (curso [[http://web.stanford.edu/class/cs224n|Socher]]): |
| * [[http://web.stanford.edu/class/cs224n/lectures/lecture1.pdf|Introduction to NLP and Deep Learning]] ([[https://cs.famaf.unc.edu.ar/~francolq/uba2018/lecture1-2.pdf|versión corta]], [[https://www.youtube.com/watch?v=OQQ-W_63UgQ&t=2725s&index=1&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6|videolecture]]) |
| * [[http://web.stanford.edu/class/cs224n/lectures/lecture2.pdf|Word Vectors 1]] ([[https://www.youtube.com/watch?v=ERibwqs9p38&t=0s&index=2&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6|videolecture]]) |
| * [[http://web.stanford.edu/class/cs224n/lectures/lecture3.pdf|Word Vectors 2]] ([[https://cs.famaf.unc.edu.ar/~francolq/uba2018/lecture3-2.pdf|versión corta]], [[https://www.youtube.com/watch?v=ASn7ExxLZws&t=4121s&index=3&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6|videolecture]]) |
| * [[http://web.stanford.edu/class/cs224n/lectures/lecture7.pdf|Dependency Parsing]] ([[https://cs.famaf.unc.edu.ar/~francolq/uba2018/lecture7-2.pdf|versión corta]], [[https://www.youtube.com/watch?v=PVShkZgXznc&t=0s&index=6&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6|videolecture]]) |
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