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Date Lecture Agenda Assignments

Tu, Jan 22, 2019

#1

Intro: Dimensions of Information Systems

Conversational Behavior and Social information

Projects Hall of Fame

Related material:

Linguistic Coordination Toolkit

Telephone

NPR Story: Before The Internet, Librarians Would 'Answer Everything' — And Still Do

Trailer for the movie "Her"

Google duplex example and writeup in The Verge

Slides

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References:

Cristian Danescu-Niculescu-Mizil, Lillian Lee, Bo Pang and Jon Kleinberg. Echoes of power: Language effects and power differences in social interaction.
Proceedings of WWW 2012.

Cristian Danescu-Niculescu-Mizil, Michael Gamon and Susan Dumais. Mark my words! Linguistic style accommodation in social media. Proceedings of WWW, 2011.

Kate G. Niederhoffer and James W. Pennebaker. Linguistic Style Matching in Social Interaction. Journal of Language and Social Psychology 2002 21: 337.

Filip Radlinsky and Nick Craswell. A Theoretical Framework for Conversational Search. Proceedings of CHIIR 2017.

Setup Quiz out (on CMS)

Assignment 0 out (on CMS)

Th, Jan 24, 2019

#2

Text similarity measures: Minimum Edit Distance

Edit Distance worksheet (includes sketch of the Wagner Fisher algorithm we used in class)

Related material


Readings:

J&M Chapters 3.11

Assignment 1 out (on CMS)

Tu, Jan 29, 2019

#3

Basic text processing concepts: Sentence Splitting, Word Tokenization, Types, Tokens

Text similarity measures: Type Overlap, Jaccard similarity

Classic (ad hoc) information retrieval systems

In-class demo: Proto Information Retrieval System: IPython notebook and html


Related material:


Readings:

J&M Chapters 3.8 and 23.1.1

Th, Jan 31, 2019

#4

Vector Space Model

Dot product similarity, Cosine similarity, Geometric intuition

Inverse document frequency (IDF)

TF-IDF weighting

In-class demo: (continued and updated) IPython notebook and html

Readings:

MRS Chapters 6.2, 6.3, 6.4.1 and 6.4.4

Assignment 2 out (on CMS)

Tu, Feb 5, 2019

#5

Term document matrix

Efficient retrieval

Inverted Index

Posting merge algorithm

Boolean search

In-class demo: (continued and updated) IPython notebook and html


Related Material:


Readings:

MRS Chapter 1

Th, Feb 7, 2019

#6

Efficient cosine similarity scoring using the inverted index (algorithm)

Fast cosine retrieval worksheet (includes sketch of the algorithm using the inverted index)


Related Material:

Inspiration for Assignment 3: QUOTUS project and interactive visualization


Readings:

MRS Chapter 6.3.3

Assignment 3 out (on CMS)

Tu, Feb 13, 2019

#7

Efficient cosine similarity scoring using the inverted index (implementation)

In-class demo: (continued and updated) IPython notebook and html

Before optimizing retrieval with inverted indexes (one query on a collection of 40,000 reality TV utterances):

class start

After optimizing retrieval with inverted indexes (one query on a collection of 40,000 reality TV utterances):

class end

Th, Feb 14, 2019

#8

Evaluation of ranked retrieval systems: Precision@k, Precision-recall curve, Mean Average Precision

Thinking about evaluation metrics worksheet

In-class demo: IPython notebook and html


Readings:

MSR Chapter 8

Assignment 4 out (on CMS)

Tu, Feb 20, 2019

#9

Evaluation of ranked retrieval systems: Discounted Cumulative Gain, Pooling, Annotation, K-statistic


Readings:

MSR Chapter 8

Th, Feb 22, 2019

#10

Relevance feedback, Rocchio's method for query rewriting, Pseudo-relevance feedback

Query update using relevance feedback worksheet (includes the Rocchio query update rule)


Related material


Readings:

MSR Chapters 9

Th, Feb 28, 2019

#11

Query expansion, Co-occurrence matrix, Pointwise Mutual Information

Scikit Learn basics

In-class demo: IPython notebook and html


Readings:

MSR Chapters 9

Assignment 5 out (on CMS)

Tu, Mar 5, 2019

#12

Project discussion and brainstorming session

Th, Mar 7, 2019

#13

Wrapping up Ad-hoc IR, Midterm practice

Tu, Mar 12, 2019

#14

MIDTERM - in class

Th, Mar 14, 2019

#15

Lecture topics:

Midterm discussion

Tu, Mar 19, 2019

#16

Lecture topics:

Text mining, Classifiers, Feature Representation

In-class demo: IPython notebook and html

Th, Mar 21, 2019

#17

Lecture topics:

Naive Bayes, Generative Models, Smoothing, Linear Classifiers

Tu, Apr 9, 2019

#18

Lecture topics:

Practical unsupervised learning on textual data: Singular Value Decomposition (SVD)

In-class demo: IPython notebook


Related material:

Indexing by latent semantic analysis. Deerwester, Dumais and Harshman 1990

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