Graph based sentiment analysis using keyword rank based polarity assignment

Author:

Bordoloi MonaliORCID,Biswas Saroj Kr.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference59 articles.

1. Abilhoa WD, De Castro LN (2014) A keyword extraction method from twitter messages represented as graphs. Appl Math Comput 240:308–325

2. Asghar MZ, Khan A, Ahmad S, Kundi FM (2014) A review of feature extraction in sentiment analysis. J Basic Appl Sci Res 4(3):181–186

3. Avinash M, Sivasankar E (2019) A study of feature extraction techniques for sentiment analysis. In: Emerging Technologies in Data Mining and Information Security, pp. 475–486, Springer, Singapore

4. Beliga S, Meštrović A, Martinčić-Ipšić S (2015) An overview of Graph-based keyword extraction methods and approaches. Journal of Information and Organizational Sciences 39(1):1–20

5. Bellaachia A, Al-Dhelaan M (2012) NE-rank: a novel Graph-based key phrase extraction in twitter. In: Proceedings of the International Joint Conferences on Web Intelligence and Intelligent Agent Technology, vol 1. IEEE/WIC/ACM, pp 372–379

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