Open Access Journal

ISSN : 2456-1304 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Science Engineering and Management (IJSEM)

Monthly Journal for Science Engineering and Management

ISSN : 2456-1304 (Online)

Ensemble Learning as Opinion Mining Approach: A Survey

Author : Padmapani P. Tribhuvan 1 Sunil G. Bhirud 2 Ratnadeep R. Deshmukh 3

Date of Publication :21st February 2018

Abstract: User generated data on the web has many research challenges and thus has attracted many researchers. As result, many new disciplines are evolved and opinion mining is one of them. Opinion mining deals with reviews expressed on the web. Opinion mining analyses views, sentiments, opinions, attitudes and emotions expressed in reviews. There are different approaches to solve the problem of opinion mining. Ensemble learning is one of the paradigms of machine learning in which multiple learners are used to solve the same problem. It has been used in different types of application efficiently and effectively. In the discipline of opinion mining, different ensembles are proposed by researchers. This survey focuses on opinion mining using ensemble learning approach. We discussed different ensembles used to solve problem of opinion mining

Reference :

    1. Liu, B., 2007. Web data mining: exploring hyperlinks, contents, and usage data. Springer Science & Business Media.
    2. Schapire, Robert E. "The strength of weak learnability." Machine learning 5, no. 2 (1990): 197-227.
    3. Breiman, Leo. "Bagging predictors." Machine learning 24, no. 2 (1996): 123-140
    4. Breiman, Leo. "Random forests." Machine learning 45, no. 1 (2001): 5-32.

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