Monthly Archives: September 2013


Paper Discussion: Du & Tan (2009)

An Iterative Reinforcement Approach for Fine-Grained Opinion Mining - Weifu Du & Songbo Tan Characteristics Summary Domain Chinese Hotel reviews from www.ctrip.com Sentiment Classes unknown Method Improved Information Bottleneck Algorithm for Semantic Information Performance Summary Accuracy of review aspect category construction: Rand-index: 0.71 Sentiment association: Precision: 78.90% Introduction Approaching the problem of aspect-level sentiment analysis […]


Paper Discussion: Baccianella et al. (2009)

Multi-facet Rating of Product Reviews - Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani Characteristics Summary Domain Hotel reviews Sentiment Classes 5-star rating Aspect Detection Method N/A Sentiment Analysis Method Ordinal regression (ε-support vector regression, LibSvm implementation used) Sentiment Lexicon General Inquirer Performance Summary Rating prediction Averaged over all aspects MAEμ: 0.733 MAEM: 1.032 Introduction First […]


Paper Discussion: Ding et al. (2008)

A Holistic Lexicon-Based Approach to Opinion Mining - Xiaowen Ding, Bing Liu, and Philip S. Yu Characteristics Summary Domain Product reviews Sentiment Classes Positive / Negative Aspect Detection Method N/A Sentiment Analysis Method Rule-based Sentiment Lexicon Custom WordNet propagation algorithm Performance Summary Opinion sentence extraction and orientation prediction Precision: 0.91 Recall: 0.90 F-score: 0.90 Introduction […]



Paper Discussion: Zhuang et al. (2006)

Movie Review Mining and Summarization - Li Zhuang, Feng Jing, and Xiao-Yan Zhu Characteristics Summary Domain Movie reviews Sentiment Classes Positive / Negative Aspect Detection Method Custom lexicon plus dependency patterns Sentiment Analysis Method Custom lexicon plus dependency patterns Parser Stanford Parser, using typed-dependencies output Performance Summary Precision: 0.483 Recall: 0.585 F-score: 0.529 Introduction Instead […]