Fine-grained opinion mining using Conditional Random Fields

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2011, Pages 109-114

  Shariaty, Shabnam ^a   Moghaddam, Samaneh ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Aspect extraction; Aspect usage detection; Conditional random fields; Opinion mining; Sentiment analysis; Text mining

Indexed keywords

BATTERY LIFE; CONDITIONAL RANDOM FIELD; CUSTOMER REVIEW; EXPERIMENTAL EVALUATION; OPINION MINING; OPTIMIZATION TECHNIQUES; PRODUCT REVIEWS; PURCHASE DECISION; REAL LIFE DATA; SENTIMENT ANALYSIS; TAGGING PROBLEM; TEXT MINING;

CONTENT BASED RETRIEVAL; RANDOM PROCESSES; TEXT PROCESSING;

DATA MINING;

EID: 84857173387     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2011.85     Document Type: Conference Paper

References (17)

1. Y. Choi and C. Cardie. Hierarchical sequential learning for extracting opinions and their attributes. In ACLShort '10.
2. M. Collins. Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms. In EMNLP '02.
3. H. Guo, H. Zhu, Z. Guo, X. Zhang, and Z. Su. Product feature categorization with multilevel latent semantic association. In CIKM '09.
4. M. Hu and B. Liu. Mining and summarizing customer reviews. In KDD '04.
5. M. Hu and B. Liu. Mining and summarizing customer reviews. In KDD '04.
6. W. Jin and H. H. Ho. A novel lexicalized hmm-based learning framework for web opinion mining. In ICML '09.
7. W. Jin, H. H. Ho, and R. K. Srihari. OpinionMiner: a novel machine learning system for web opinion mining and extraction. In KDD '09.
8. J. D. Lafferty, A. McCallum, and F. C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML '01.
9. B. Liu, M. Hu, and J. Cheng. Opinion observer: analyzing and comparing opinions on the web. In WWW '05.
10. S. Moghaddam and M. Ester. AQA: Aspect-based opinion question answering. In ICDMW '11.
11. S. Moghaddam and M. Ester. ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. In SIGIR '11.
12. S. Moghaddam and M. Ester. Opinion digger: an unsupervised opinion miner from unstructured product reviews. In CIKM '10.
13. S. Moghaddam, M. Jamali, and M. Ester. Review recommendation: Personalized prediction of the quality of online reviews. In CIKM '11.
14. S. Moghaddam and F. Popowich. Opinion polarity identification through adjectives. CoRR, abs/1011.4623, 2010.
15. I. Titov and R. McDonald. Modeling online reviews with multi-grain topic models. In WWW '08.
16. H. Wang, Y. Lu, and C. Zhai. Latent aspect rating analysis on review text data: a rating regression approach. In KDD '10.
17. T.-L. Wong, W. Lam, and T.-S. Wong. An unsupervised framework for extracting and normalizing product attributes from multiple web sites. In SIGIR '08.