CIS 630 (Spring 2013: Seminar in Natural Language Processing)
Class: MW 3-4:30 pm, Towne 305
Office Hours: By appointment
The course will focus on topics in affect recognition from text and speech.
30% Project 1; text-based analysis on NYT; Project presentations Feb 25/27; Project report due Mar 6
40% Project 2; individual projects; One page proposal due March 1; Preliminary results April 17/22; Final projects due May 1
15% Questions on assigned reading and class presentation; Questions due by 9am the day of class
15% Leading discussions on assigned papers
Bing Liu's opinion lexicon
Emotion words from WordNeAffect
FrameNet emotion words
- Jan 9, Intro to class.
- Jan 14, Sentiment analysis and opinion mining I [ppt]
Synthesis lectures in HLT
- Jan 16, Sentiment analysis and opinion mining II [ppt]
- Jan 21, MLK day; no class
- Jan 23, Sentiment analysis and opinion mining III [pdf]
- Jan 28, Using web data from unsupervised affect recognition
Peter Turney, Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews, ACL 2002 [pdf]
Tokuhisa, Ryoko, Kentaro Inui, and Yuji Matsumoto, Emotion classification using massive examples extracted from the web, COLING 2008 [pdf]
- Jan 30, Annotating subjectivity, [slides]
Janyce Wiebe, Ellen Riloff, Finding Mutual Benefit between Subjectivity Analysis and Information Extraction, IEEE Transactions on Affective Computing, pp. 175-191, October-December, 2011
Janyce Wiebe, Theresa Wilson , and Claire Cardie, Annotating expressions of opinions and emotions in language, Language Resources and Evaluation, volume 39, issue 2-3, pp. 165-210, 2005.
- Feb 4, Sarcasm identification, [slides1, [slides2]
Roberto Gonzßlez-Ibß˝ez, Smaranda Muresan, Nina Wacholder, Identifying Sarcasm in Twitter: A Closer Look ACL (Short Papers) 2011
Dmitry Davidov; Oren Tsur; Ari Rappoport Semi-Supervised Recognition of Sarcasm in Twitter and Amazon CoNLL 2010.
- Feb 6, Interactions between syntactic realization and affect [slides]
Stephan Greene; Philip Resnik More than Words: Syntactic Packaging and Implicit Sentiment NAACL 2009.
Viola Ganter, Michael Strube Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features ACL/AFNLP (Short Papers) 2009.
- Feb 11, Interactions between discourse relations and affect, [slides1],[slides2]
Swapna Somasundaran; Galileo Namata; Janyce Wiebe; Lise Getoor, Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification, EMNLP'09.
Cńcilia Zirn; Mathias Niepert; Heiner Stuckenschmidt; Michael Strube, Fine-Grained Sentiment Analysis with Structural Features , IJCNLP'11.
- Feb 13, Alternative approaches to annotating sentiment, [slides1], [slides2]
Cigdem Toprak; Niklas Jakob; Iryna Gurevych, Sentence and Expression Level Annotation of Opinions in User-Generated Discourse , ACL'10.
Dong Wang; Yang Liu, A Pilot Study of Opinion Summarization in Conversations , ACL'11.
- Feb 18
Soo-Min Kim; Eduard Hovy, Determining the Sentiment of Opinions, COLING 2004.
Cecilia Ovesdotter Alm; Dan Roth; Richard Sproat, Emotions from Text: Machine Learning for Text-based Emotion Prediction , EMNLP 2005.
- Feb 20, Application to question answering and summarization
Veselin Stoyanov and Claire Cardie, Automatically Creating General-Purpose Opinion Summaries from Text , RANLP 2011.
Ves Stoyanov, Claire Cardie and Janyce Wiebe, Multi-Perspective Question Answering Using the OpQA Corpus , EMNLP 2005.
- Feb 25, Polarity in context
Theresa Wilson, Janyce Wiebe, and Paul Hoffmann, Recognizing Contextual Polarity: an exploration of features for phrase-level sentiment analysis , Computational Linguistics 35(3), 2009
Eric Breck, Yejin Choi, and Claire Cardie, Identifying Expressions of Opinion in Context , IJCAI 2007.
- Feb 27, Contrasting viewpoints in text and conversation
Michael J. Paul, ChengXiang Zhai, Roxana Girju, Summarizing Contrastive Viewpoints in Opinionated Text EMNLP 2010.
Stephan Raaijmakers; Khiet Truong; Theresa Wilson, Multimodal Subjectivity Analysis of Multiparty Conversation EMNLP 2008.
- Mar 4& Mar 6: Spring Break
- Mar 11: Ch 5 and Ch 21, Handook of emotion
- Mar 13: Ch 12 and Ch 13, Handbook of emotion
- Mar 18
Bj÷Rn Schuller, Stefan Steidl, Anton Batliner, Felix Burkhardt, Laurence Devillers, Christian MŘLler, and Shrikanth Narayanan. 2013. Paralinguistics in speech and language-State-of-the-art and the challenge. Comput. Speech Lang. 27, 1 (January 2013), 4-39
- Mar 20
Andrew Rosenberg and Julia Hirschberg. 2009. Charisma perception from text and speech. Speech Commun. 51, 7 (July 2009), 640-655.
- Mar 25
Diane J. Litman, Katherine Forbes-Riley: Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors. Speech Communication 48(5): 559-590 (2006) [pdf]
- Mar 27
Petri Laukka, Daniel Neiberg, Mimmi Forsell, Inger Karlsson, and Kjell Elenius. 2011. Expression of affect in spontaneous speech: Acoustic correlates and automatic detection of irritation and resignation . Comput. Speech Lang. 25, 1 (January 2011), 84-104
- Apr 1
Swerts M, Hirschberg J., Prosodic predictors of upcoming positive or negative content in spoken messages.
Franšois Mairesse and Marilyn A. Walker. 2011. Controlling user perceptions of linguistic style: Trainable generation of personality traits. Comput. Linguist. 37, 3 (September 2011), 455-488.
- Apr 3
Tim Polzehl, Alexander Schmitt, Florian Metze, and Michael Wagner. 2011. Anger recognition in speech using acoustic and linguistic cues. Speech Commun. 53, 9-10 (November 2011), 1198-1209.
- Apr 8
Lee, Chul Min, Narayanan, Shrikanth S. Toward detecting emotions in spoken dialogs IEEE Transactions on Speech and Audio Processing, 13(2), 2005.
Michael Grimm, Kristian Kroschel, Emily Mower, and Shrikanth Narayanan. 2007. Primitives-based evaluation and estimation of emotions in speech.
Speech Commun. 49, 10-11 (October 2007)
- Apr 10
Carlos Busso, Sungbok Lee, Shrikanth Narayanan: Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection. IEEE Transactions on Audio, Speech & Language Processing 17(4): 582-596 (2009)
- Apr 15
Mower, Emily, Mataric, Maja, Narayanan, Shrikanth S. A Framework for Automatic Human Emotion Classification Using Emotional Profiles
- Apr 17
Kao, J.T. & Jurafsky, D. (2012). A computational analysis of style, affect, and imagery in contemporary poetry. NAACL Workshop on Computational Linguistics for Literature. [ pdf].
Rajesh Ranganath, Dan Jurafsky, and Daniel A. McFarland. 2012. Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Computer Speech and Language.
- Apr 22
Dmitri Bitouk, Ragini Verma, Ani Nenkova, Class-level spectral features for emotion recognition , Speech Communication 52(7-8): 613-625 (2010)
Houwei Cao, Ragini Verma, Ani Nenkova: Combining Ranking and Classification to Improve Emotion Recognition in Spontaneous Speech. INTERSPEECH 2012
Optional: Handbook of Emotion