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Paper Presentation

The purpose of this paper presentation is to help students to practice giving talks in front of public at research conferences or other situations, and prepare for the course projects.

After each lecture, there will be three to ten recommended readings. Everyone is asked to select one paper from the list, and prepare a 15-minutes presentation for the class. One paper can only be presented by one student. Students are required to prepare the slides by themselves (the original authors' slides are not allowed to be used for this presentation).

It is preferred that the students could present the paper on the day when the topic is covered in the lecture, such that the audiences can get different flavors of the topic. The student presentation will be placed at the end of the class (unless the student requires to present at the beginning of the class).

Giving an impressive presentation is an art. Some helpful tips can be found in the resource page.

Both the instructor and other students will grade the presentation (no self-grading). The detailed grading criteria are described in our course syllabus.

Paper presentation sign up is due in the end of 4th week of the semester. The paper presentation will start on the 6th week.


Peer-evaluation website

Please use this page for peer evaluation.

Sign up sheet

Name Date Paper Title
Adam Rosenberg, Leandra Irvine, Gus Logsdon March 2rd [Twitter as a Corpus for Sentiment Analysis and Opinion Mining]({{site.baseurl}}/docs/Presentation/twitter-sentiment.pptx)
Hope McIntyre, Brian Sachtjen, Nick Venuti March 2rd [Semantic Density Analysis: Comparing word meaning across time and phonetic space]({{site.baseurl}}/docs/Presentation/Semantic-Density.pdf)
Lihua Cai, Yue Hu March 14th [Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments]({{site.baseurl}}/docs/Presentation/twitter-postag.pptx)
Dinesh Surapaneni March 16th [Efficient Estimation of Word Representations in Vector Space]({{site.baseurl}}/docs/Presentation/dks6rp-word2vec.pptx)
Deyuan Guo, Elaheh Sadredini March 28th [Hierarchical document clustering using frequent itemsets]({{site.baseurl}}/docs/Presentation/FIHC.pdf)
Anish Tondwalkar, Juan Pablo Arrivillaga, Prateek Agrawal April 4th [A statistical approach to machine translation]({{site.baseurl}}/docs/Presentation/A+statistical+approach+to+machine+translation.pptx)
Zhengkun Li, Hao Wu, Ning Yu April 4th [Data Clustering: 50 years beyond K-Means]({{site.baseurl}}/docs/Presentation/presentation_Yu_Wu_Li_final.pptx)
Matt Hawthorn, Nikhil Mascarenhas, Shannon Mitchell April 6th [Evaluation of hierarchical clustering algorithms for document datasets]({{site.baseurl}}/docs/Presentation/Paper_presentation_som3dq.pdf)
Jason Lewris, Don Chesworth April 11th [Thumbs up? Sentiment Classification using Machine Learning Techniques]({{site.baseurl}}/docs/Presentation/SentimentClassification_PaperPresentation.pptx)
Katherine Schinkel, Marcus Rosti April 11th [Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales]({{site.baseurl}}/docs/Presentation/Seeing+Stars.pdf)
Wasi Uddin Ahmad, Md Masudur Rahman April 13th [Exploiting query reformulations for web search result diversification]({{site.baseurl}}/docs/Presentation/Exploiting+Query+Reformulations+for+Web+Search+Result+Diversification.pdf)
William Middleton, Jason Adams, Ian Clark, Antoine Rigaut April 13th [Temporal Opinion Mining]({{site.baseurl}}/docs/Presentation/Temporal+Opinion+Mining+Presentation.pdf)
Paul Cherian, Aditya Bindra, Benjamin Haines April 18th [Determining the sentiment of opinions]({{site.baseurl}}/docs/Presentation/Determining+the+Sentiment+of+Opinions.pdf)
Paul Vasiu April 18th Multi-document summarization by sentence extraction
Ziding Liu, Fanjia Kong, Haoyu Li April 20th [Supervised topic models]({{site.baseurl}}/docs/Presentation/supervised topic model.pptx)
Huazheng Wang, Yuxiang Xiang, Yuting Wang April 25th [Matrix factorization techniques for recommender systems]({{site.baseurl}}/docs/Presentation/collaborative filtering.pptx)
Jinlong Feng, Renqin Cai April 25th [Modeling Annotated Data]({{site.baseurl}}/docs/Presentation/CorrLDA.pptx)