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courses:cs366:schedule [2020/01/08 19:03] ide |
courses:cs366:schedule [2020/01/17 13:33] ide |
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^ Date ^ Topic ^ Reading ^ Assignments ^ Supplemental materials || | ^ Date ^ Topic ^ Reading ^ Assignments ^ Supplemental materials|| |
| 1/22 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pdf| Introduction]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pptx| (PPT)]] | J&M Ch. 1 | | || | | 1/22 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pdf| Introduction]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pptx| (PPT)]] | J&M Ch. 1 | | || |
| 1/27 | [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pdf| Finite state automata, finite state transducers, and morphology]] [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pptx| (PPT)]] | NLTK Ch. 1, J&M Ch. 3 pp. 45-68 | | | | 1/27 | [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pdf| Finite state automata, finite state transducers, and morphology]][[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pptx| (PPT)]] | NLTK Ch. 1, J&M Ch. 3 pp. 45-68 | | || |
|| | | 2/3 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pdf| Introduction to NLTK and Python ]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pptx|(PPT) ]] | NLTK Ch. 3, 4 | |[[https://docs.python.org/3/tutorial/| Python3.5 tutorial]] || |
| 2/3 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pdf| Introduction to NLTK and Python ]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pptx|(PPT) ]] | NLTK Ch. 3, 4 | | | 2/5 | [[http://www.cs.vassar.edu/~cs366/private/lectures/machine-learning.pdf|Introduction to Machine Learning]] | [[http://www.cs.cmu.edu/~tom/mlbook/keyIdeas.pdf| Key Ideas in Machine Learning]] | | || |
| | | 2/10 |Machine learning (con't): Naive Bayes and sentiment analysis | [[https://web.stanford.edu/~jurafsky/slp3/4.pdf|J&M Edition 3, Chapter 4]] | | || |
|[[https://docs.python.org/3/tutorial/| Python3.5 tutorial]] | | 2/12 | [[http://www.cs.vassar.edu/~cs366/private/lectures/ngrams.pdf|Language models, probabilistic approaches, n-grams]] | J&M Ch. 4 (through 4.5.2), NLTK Ch. 2 | | || |
|| | | 2/17 | [[http://www.cs.vassar.edu/~cs366/private/lectures/weka.pdf| Weka overview]] |[[http://www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf|Data Mining, Ch. 11.1-4, 11.6-8]] | |[[http://www.cs.vassar.edu/~cs366/docs/weka-tutorial-full.pdf|Weka Tutorial]] [[http://www.cs.vassar.edu/~cs366/docs/WekaManual-3-9-2.pdf|Weka Manual]] ||| |
| 2/5 | [[http://www.cs.vassar.edu/~cs366/private/lectures/machine-learning.pdf|Introduction to Machine Learning]] | [[http://www.cs.cmu.edu/~tom/mlbook/keyIdeas.pdf| Key Ideas in Machine Learning]] | | | 2/19 | Automatically determining word meaning: word embeddings | [[https://web.stanford.edu/~jurafsky/slp3/6.pdf|J&M ch.6 (3rd ed.), NLTK Ch. 6]] | | |
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| 2/10 |Machine learning (con't): Naive Bayes and sentiment analysis | [[https://web.stanford.edu/~jurafsky/slp3/4.pdf|J&M Edition 3, Chapter 4]] | | |
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| 2/12 | [[http://www.cs.vassar.edu/~cs366/private/lectures/ngrams.pdf|Language models, probabilistic approaches, n-grams]] | J&M Ch. 4 (through 4.5.2), NLTK Ch. 2 | | |
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| 2/17 | [[http://www.cs.vassar.edu/~cs366/private/lectures/weka.pdf| Weka overview]] |[[http://www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf|Data Mining, Ch. 11.1-4, 11.6-8]] | | |
|[[http://www.cs.vassar.edu/~cs366/docs/weka-tutorial-full.pdf|Weka Tutorial]] [[http://www.cs.vassar.edu/~cs366/docs/WekaManual-3-9-2.pdf|Weka Manual]] | |
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| 2/19 | Automatically determining word meaning: word embeddings | | [[https://web.stanford.edu/~jurafsky/slp3/6.pdf|J&M ch.6 (3rd ed.), , NLTK Ch. 6]] | | | |
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| 2/26 | [[http://www.cs.vassar.edu/~cs366/private/lectures/sentiment-analysis.pdf|Sentiment Analysis]] | [[https://web.stanford.edu/~jurafsky/slp3/6.pdf|J&M ch. 6 (3rd ed.)]], [[https://web.stanford.edu/~jurafsky/slp3/18.pdf|J&M ch. 18 (3rd ed.)]] [[http://www.cs.vassar.edu/~cs366/docs/NLP-handbook-sentiment-analysis.pdf| R1]] | /* [[http://www.cs.vassar.edu/~cs366/private/assignments/assn02.pdf|A2]] */ | /*[[http://www.cs.vassar.edu/~cs366/private/lectures/sentiment-analysis-assignment.pdf|A2 supplement]]*/ || | | 2/26 | [[http://www.cs.vassar.edu/~cs366/private/lectures/sentiment-analysis.pdf|Sentiment Analysis]] | [[https://web.stanford.edu/~jurafsky/slp3/6.pdf|J&M ch. 6 (3rd ed.)]], [[https://web.stanford.edu/~jurafsky/slp3/18.pdf|J&M ch. 18 (3rd ed.)]] [[http://www.cs.vassar.edu/~cs366/docs/NLP-handbook-sentiment-analysis.pdf| R1]] | /* [[http://www.cs.vassar.edu/~cs366/private/assignments/assn02.pdf|A2]] */ | /*[[http://www.cs.vassar.edu/~cs366/private/lectures/sentiment-analysis-assignment.pdf|A2 supplement]]*/ || |