Regular Expressions, Text Normalization, Edit Distance
http://web.stanford.edu/~jurafsky/slp3/2.pdf
Language Modeling with N-Grams
http://web.stanford.edu/~jurafsky/slp3/3.pdf
Slide: https://web.stanford.edu/class/cs124/lec/languagemodeling2019.pdf
Chapter 4, "Naive Bayes and Sentiment Classification"
http://web.stanford.edu/~jurafsky/slp3/4.pdf
Slide: https://web.stanford.edu/class/cs124/lec/naivebayes.pdf
Thumbs up? Sentiment Classification using Machine Learning Techniques
http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf
Lexicons for Sentiment, Affect, and Connotation
http://web.stanford.edu/~jurafsky/slp3/19.pdf
Logistic Regression
http://web.stanford.edu/~jurafsky/slp3/5.pdf
https://spark-public.s3.amazonaws.com/cs124/slides/ir-1.pdf
- J+M (3ed) Chapter 6: Vector Semantics, 1-7, 18-26, and review 8-15 (should already be familiar)`
- http://web.stanford.edu/~jurafsky/slp3/6.pdf
- Weizenbaum, Joseph. 1966, "ELIZA – A Computer Program For the Study of Natural Language Communication Between Man And Machine", Communications of the ACM 9 (1): 36-45
- http://web.stanford.edu/class/cs124/p36-weizenabaum.pdf
- Jure Leskovec, Anand Rajaraman, Jeff Ullman. 2014. Mining of Massive Datasets. Chapter 9 2nd edition. pages 307-311 (intro and 9.1) and 321-327 (9.3).
- http://infolab.stanford.edu/~ullman/mmds/ch9.pdf
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Web graphs, Links, and PageRank Videos
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- Networks, Crowds, and Markets: Reasoning About a Highly Connected World By David Easley and Jon Kleinberg Cambridge University Press (2010) Chapter 2, Sections 3.1-3.3 and Secs 18.1-18.5
- http://www.cs.cornell.edu/home/kleinber/networks-book/
- Reference:
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Course: CS 124: From Languages to Information
- http://web.stanford.edu/class/cs124/
- Sayed Ahmed
Linkedin: https://ca.linkedin.com/in/sayedjustetc
Blog: http://sitestree.com, http://bangla.salearningschool.com
