Abstract
Mining of sentiments is the key aspect of Natural Language Processing. The analysis of sentiments has extended much consideration in recent years. In this paper, problem tackling of sentiment polarization is discussed, which deals with the high difficulties of analysis in terms of opinion/sentimental analysis. In this paper, the overall practice for sentiment polarity tagging is reviewed and also this paper discusses some recent approaches done on the sentimental analysis with detailed descriptions. Also the basic knowledge which is required to achieve effectual sentimental analysis is discussed in this review paper with their applications which deals with the sentimental analysis with various aspects. This paper discusses various tactics in brief to achieve computational behavior of sentimentalities and opinions. Several controlled practices in mining of the opinions in terms of the assets and disadvantages are discussed in this paper.
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Jaitly, G., Kapil, M. (2021). A Productive Review on Sentimental Analysis for High Classification Rates. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_25
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DOI: https://doi.org/10.1007/978-981-15-6353-9_25
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