Aspect-based sentiment analysis of mobile reviews

Author:

Gupta Vedika1,Singh Vivek Kumar2,Mukhija Pankaj3,Ghose Udayan4

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Technology Delhi, Delhi, India

2. Department of Computer Science, Banaras Hindu University, Varanasi, India

3. Department of Electrical and Electronics Engineering, National Institute of Technology Delhi, Delhi, India

4. University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference33 articles.

1. Mining and summarizing customer reviews;Hu;in Proceedings SIGKDD,2004

2. Mining opinion features in customer reviews;Hu;in: Proceeding of American Association for Artificial Intelligence Conference,2004

3. Learning to extract and summarize hot item features from multiple auction websites;Wong;Knowledge Information System,2008

4. Hot item mining and summarization from multiple auction websites;Wong;in Proceedings 5th IEEE ICDM,2005

5. Classifying web review opinions for consumer product analysis;Yang;In Proceedings of the 11th International Conference on Electronic Commerce-ICEC ’09,2009

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