Abstract  In this paper we have addressed the problem of auto matic identification of product features from customer reviews. Costumers, retailors, and manufacturers are popular ly using customer reviews on websites for product reputation and sales forecasting. Opinion mining application have been p otentially employed to summarize the huge collectionof customer reviews for decision making. In this paper we have proposed hybrid dependency patterns to extract product features from unstructured reviews. The proposed dependency patterns exploit l exical relations and opinion context to identify features. Based on empirical analysis, we found that the proposed hybr id patterns provide comparatively more accurate res ults. The average precision and recall are significantly improved wit h hybrid patterns.  

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[20] Zhang L. and Liu B., Identifying Noun Product Features that Imply Opinions, in Proceedings of the 49 th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers , USA, vol. 2, pp. 575-580, 2011. Khairullah Khan received his PhD degree in information technology from Universiti Technologi PETRONAS, Malaysia. He is an assistant professor at the University of Science and Technology Bannu Pakistan. His current research interests include data mining, opinion mining and information retrieval. Baharum Baharudin received his Master degree from Central Michigan University, USA, and his PhD degree from the University of Bradford, UK. He is currently an associate professor at the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS Malaysia. His research interests lies in image processing, data mining and knowledge management. Aurangzeb Khan received his BS- degree in computer Science from Gomal University D. I. Khan, Pakistan, and his Master degree in information technology from the University of Peshawar, Pakistan, and his PhD degree from the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia. He is an assistant professor at the University of Science & Technology Bannu Pakistan. His current research interests include data mining, opinion mining and information retrieval.