CS224N/Ling284 Final Projects 2009-10
Final Projects from CS 224N / Ling 284 for Spring 2009/2010.
- Star Quality: Sentiment Categorization of Restaurant Reviews
- Amir Ghazvinian
- Predicting Stock Volatility from Quarterly Earnings Calls and Transcript Summaries using Text Regression
- Naveed Ahmad and Aram Zinzalian [slides]
- Inclusion of large input corpora in Statistical Machine Translation
- Bipin Suresh
- `These go to eleven' Investigations in tuning the Stanford Statistical Parser
- Ciaran O'Reilly
- Detecting Real-Time Messages of Public Interest in Tweets
- Divij Gupta and Chanh Nguyen
- Great Food, Lousy Service: Topic Modeling for Sentiment Analysis in Sparse Reviews
- Robin Melnick and Dan Preston [slides]
- Entity Based Sentiment Analysis on Twitter
- Siddharth Batra and Deepak Rao [slides]
- Multi-Aspect Sentiment Classification of Reviews Via Sentence Selection
- Erik Kuefler and Estelle Comment
- Quote Clustering in Online News
- Orr Keshet and Evan Rosen
- A Deterministic Coreference System with Rich Syntactic Features and Semantic Knowledge
- Heeyoung Lee and Sudarshan Rangarajan [slides]
- Question Classification using Latent Focus Words
- Anand Iyer and Ritvik Mudur [slides]
- Modification Identification in Recipe Comments
- James Mao
- A Novel Approach to Event Duration Prediction
- Divye Khilnani, Pranav Khaitan and Ye Jin [slides]
- Dialogue Act Recognition using Cue Phrases
- Jun Araki
- Unsupervised Methods for Word Disambiguation
- Klaus Völker and Simone Wu
- NLP-based Approach to Twitter User Classification
- Matt Bush, Ivan Lee and Tony Wu [slides]
- Automated Summarization of Restaurant Reviews
- Manoj Pawar and Deepak Mallya
- High-Performance Question Classification Using Semantic Features
- Olalere Williams
- Part of Speech Tagging using a Hidden Markov Model
- Sander Parawira
- Multiclass Sentiment Analysis with Restaurant Reviews
- Moontae Lee and Patrick Grafe [slides]
- Sentiment Analysis of Stanford Course Reviews
- R.J. Walsh
- The Metric System: Transforming Prose to Verse
- Richard Frankel, Kara Levy and Kevin Montag
- Topic Extraction and Relation in Instant Messaging
- Ben Roth
- Unsupervised sentiment classification of English movie reviews using automatic selection of positive and negative sentiment items
- John Rothfels and Julie Tibshirani
- Semantics-based Text Mining of Biomedical Concepts in Scientific Publications
- Saeed Hassanpour and Siddharth Taduri
- Literary Period Classification
- Caitlin Colgrove, Sheldon Chang and Phumchanit (Yiam) Watanaprakornkul
- Using Named Entity Recognition to improve Machine Translation
- Neeraj Agrawal and Ankush Singla [slides]
- #title We know what @you tweeted last summer !
- Shrey Gupta and Sonali Aggarwal [slides]
- Multi-document extraction based Summarization
- Sandeep Sripada, Venu Gopal Kasturi and Gautam Kumar Parai [slides]
- Sentiment Analysis: Facebook Status Messages
- Julie Kane Ahkter and Steven Soria [slides]
- Micro-blogging Sentiment Analysis Using Bayesian Classification Methods
- Suhaas Prasad
- Sentiment Classification using Language Models and Sentence Position Information
- Sunil Khanal [slides]
- "Mixing Deterministic and Probabilistic Models for Simple Story Generation"
- Ryan Thompson
- Geo-location Route Recognition
- Yingjie (Roger) Zheng and Philip (Tony) Hairr [slides]
- A
Comparison of Google N-grams and Gigaword Dependencies
as Automatically Mined Features in Temporal Relation Extraction
- Christopher Lin, Jessica Long, and Arun Miduthuri
- In Pursuit of an
Efficient Multi-Domain Text Classification Algorithm
- Evan Cox and Marcelo Worsley