An Analysis of Sentiment Using Aspect-Based Perspective

Title

An Analysis of Sentiment Using Aspect-Based Perspective

Creator

Rexi F.A.; Preethi N.

Description

Opinions play a major role in almost every human practice. Finding product and service reviews is made easy online. Product reviews are readily available in huge quantities. Considering each review and making a concise decision about a product is not feasible or even possible. Aspect-based sentiment analysis (ABSA) is one of the best solutions to this problem. Summary and online reviews analysis is delivered in this paper. ABSA has made extensive use of machine learning techniques. Recent years have seen deep learning take off due to the growth of computer processing power and digitalization. When applied to various deep learning techniques, numerous NLP tasks produced futuristic results. An overview of various deep learning models used in the field of ABSA is presented in this chapter after an introduction to ABSA. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Cognitive Science and Technology, pp. 809-818.

Date

2022-01-01

Publisher

Springer

Subject

Aspect-based sentiment analysis; Convolutional neural network; Deep learning; Natural language processing

Coverage

Rexi F.A., Christ University, Bengaluru, India; Preethi N., Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 21953988

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-19-2350-0_76

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141128005&doi=10.1007%2f978-981-19-2350-0_76&partnerID=40&md5=48690c4a088fba0d54e2e152e4e283f2