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Survey on Sentiment Analysis Methods for Reputation Evaluation

  • P. Chiranjeevi
  • D. Teja Santosh
  • B. Vishnuvardhan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Sentiment Analysis gathered huge attention in recent years. In this field, sentiments are analyzed and aggregated from the text. There are certain relevant sub-areas in research. This survey mainly concentrates on aspect-level (product feature) sentiment analysis. The aspects of the products are the noun phrases of the sentences. It is necessary to identify the goal and aggregate sentiments on entities in order to find the aspects of the entities. The detailed overview of study is given in such a way that the incredible evolution was already made in finding the target corresponding to the sentiment. The recent solutions are based on the aspect detection and extraction. In a detailed study, a performance report and evaluation related to the data sets are mentioned. In a variety of existing methods, an attempt is made to use the shared data values to standardize the evaluation methodology. The future research is in the direction of sentiment analysis which mainly concentrates on aspect centric reputation of online products.

Keywords

Text mining Linguistic processing Machine learning Aspect extraction Sentiment analysis Reputation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty of Computer Science and EngineeringACE Engineering CollegeHyderabadIndia
  2. 2.Department of Computer Science and EngineeringGITAM UniversityHyderabadIndia
  3. 3.Department of Computer Science and EngineeringJNTUHCEJKarimnagarIndia

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