From Languages to Information (LINGUIST 180, LINGUIST 280)

CS
124
Instructors
Jurafsky, D. (PI)
Lim, D. (TA)
Hardy, A. (TA)
Eigbe, N. (TA)
Agrawal, N. (TA)
Lowber, A. (TA)
Silverstein, S. (TA)
Lee, H. (TA)
Moore, D. (TA)
He, J. (TA)
Zhao, A. (TA)
Nguyen, J. (TA)
Xu, M. (TA)
Sengupta, A. (TA)
Buch, D. (TA)
Wang, A. (TA)
Oyeniyi, T. (TA)
Section Number
1
Extracting meaning, information, and structure from human language text, speech, web pages, social networks. Introducing methods (regex, edit distance, naive Bayes, logistic regression, neural embeddings, inverted indices, collaborative filtering, PageRank), applications (chatbots, sentiment analysis, information retrieval, question answering, text classification, social networks, recommender systems), and ethical issues in both. Prerequisites: CS106B
Grading
Letter or Credit/No Credit
Requirements
WAY-AQR
Units
3-4
Academic Career
Undergraduate
Course Tags
Computational Policy - Electives
Computational Policy Analysis
Academic Year
Quarter
Winter
Section Days
Tuesday Thursday
Start Time
3:00 PM
End Time
4:20 PM
Location
Hewlett Teaching Center 200