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General Depiction of An Efficient Bootstrapper-A Review

Rabiya qadir, Afaq Alam Khan

Abstract


Abstract: Bootstrapping is a technique which can automatically annotate emotional corpora. It is a pre-eminent job aimed by many companies who want to research the sentiments of products before purchase, or many companies that want to observe a view or opinion that is held or expressed by public about their brands. The significance of this research is expressed by the fact that, in the present era, people’s emotions has a very great importance for business, politics and for people also. So, there arises a need to create a technique which can create emotional corpus and using this resource emotion detection, systems can work in the best possible manner with the least waste of time and effort. In this paper, different techniques and approaches are discussed given by different researchers to create an efficient bootstrapper for automatic annotation of data. This paper also presents the results that were recorded in the different experiments by various researchers.

Keywords: Bootstrapping, emotional corpora, emotion detection system, NLP (natural language processing), SVM (support vector machine)

Cite this Article: Rabiya Qadir, Afaq Alam Khan. General Depiction of an Efficient Bootstrapper: A Review. Journal of Artificial Intelligence Research & Advances. 2019; 6(3): 9–12p.


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