Monthly Archives: October 2013

Paper Discussion: Titov & McDonald (2008b)

A Joint Model of Text and Aspect Ratings for Sentiment Summarization - Ivan Titov and Ryan McDonald Characteristics Summary Domain Hotel reviews Sentiment Classes 5-star rating Aspect Detection Method Multi-Aspect Sentiment Model (incorporates MG-LDA model) Performance Summary Aspect Detection Aspect service Average Precision: 75.8% Aspect location Average Precision: 85.5% Aspect rooms (with best # of […]

Paper Discussion: Titov & McDonald (2008a) 1

Modeling Online Reviews with Multi-grain Topic Models - Ivan Titov and Ryan McDonald Characteristics Summary Domain Reviews of products, hotels, and restaurants Sentiment Classes 5-star rating Aspect Detection Method MultiGrain LDA Sentiment Analysis Method PRanking (existing method) Performance Summary Sentiment Analysis Ranking Loss: 0.669 Introduction With the advent of topic models, especially, Latent Dirichlet Allocation […]

Paper Discussion: Choi & Cardie (2008)

Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis - Yejin Choi and Claire Cardie Characteristics Summary Domain MPQA corpus Sentiment Classes Positive / Negative Aspect Detection Method N/A Sentiment Analysis Method Support Vector Machine (MIRA) with compositional inference Sentiment Lexicon Wilson et al. (2005) + General Inquirer Performance Summary Polarity Prediction Accuracy: […]

Paper Discussion: Scaffidi et al. (2007)

Red Opal: Product-Feature Scoring from Reviews - Christopher Scaffidi, Kevin Bierhoff, Eric Chang, Mikhael Felker, Herman Ng, and Chun Jin Characteristics Summary Domain Product Reviews Aspect Detection Method Frequency-based, uses baseline statistics Sentiment Analysis Method N/A Performance Summary Precision: 85%-90% Complexity Analysis: O(n) Introduction This work can be seen as following-up on Hu & Liu […]

Paper Discussion: Mei et al. (2007) 1

Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs - Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, and ChengXiang Zhai Characteristics Summary Domain Weblogs Sentiment Classes Positive / negative Aspect Detection and Sentiment Analysis Topic-Sentiment Mixture Model Performance Summary Positive sentiment model on unseen data: KL-divergence: ~21 Negative sentiment model on unseen data: KL-divergence: […]

Paper Discussion: Ku et al. (2006)

OpinionĀ  Extraction, Summarization and Tracking in News and Blog Corpora - Lun-Wei Ku, Yu-Ting Liang, and Hsin-Hsi Chen Characteristics Summary Domain News items and blogs Sentiment Classes Positive / negative Sentiment Analysis Dictionary-based, using topical relevance filter Performance Summary On NTCIR corpus (news): Precision: 38.06% Recall: 64.84% F1-measure: 47.97% On Blog posts: Precision: 23.48% Recall: […]

Paper Discussion: Kobayashi et al. (2006)

Opinion Mining on the Web by Extracting Subject-Aspect-Evaluation Relations - Nozomi Kobayashi, Ryu Iida, Kentaro Inui, and Yuji Matsumoto Characteristics Summary Domain Car reviews Sentiment Classes N/A Extraction Method Dictionary + Support Vector Machines Performance Summary Opinion extraction: Precision: 67.7% Recall: 50.7% F1-measure: 40.5 Aspect-evaluation pair extraction: Precision: 76.6% Recall: 75.1% Opinionhood determination: Precision: 82.2% […]