Academic Reading

The following texts are considered core texts for undergraduate level teaching.

Natural Language Processing

Jurafsky, Daniel, and James H. Martin. 2009. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. 2nd edition. Prentice-Hall.
The core introductory NLP text book in most undergraduate programs.

Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing, MIT Press. Cambridge, MA: May 1999.
The core statistical NLP textbook in most undergraduate programs.

Introduction to Linguistic Annotation and Text Analytics
Synthesis Lectures on Human Language Technologies

2009, Graham Wilcock‌, University of Helsinki
Useful in that it introduces many practical linguistic annotation tool kits.


Fromkin, Victoria, Robert Rodman, and Nina Hyams. An introduction to language. Cengage Learning, 2013.
A reliable first year undergraduate linguistics textbook if you wish to learn more about linguistic theory.

Opinion Mining and Sentiment Analysis

Liu, Bing. “Sentiment analysis and opinion mining.” Synthesis Lectures on Human Language Technologies 5.1 (2012): 1-167.