Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques-Reference-Cited by-同舟云学术

Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques

Published:2024-03-24 Issue:5 Volume:18 Page:
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Panigrahi Ritanjali¹^ORCID,Bele Nishikant²,Panigrahi Prabin Kumar³^ORCID,Gupta Brij B.⁴

Affiliation:

1. O.P. Jindal Global University, Sonipat, Haryana, India

2. Department of Digital Health, International Institute of Health Management Research, New Delhi, India

3. Indian Institute of Management Indore, Prabandh Shikhar, Indore, Madhya Pradesh, India

4. Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan,and Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea, and Symbiosis Centre for Information Technology (SCIT), Symbiosis International University, Pune, India, and Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2024.2328186

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5. Bakliwal, A., P. Arora, and V. Varma 2012, May. Hindi Subjective Lexicon: A Lexical Resource for Hindi Polarity Classification. In Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC), Istanbul, Turkey (pp. 1189–1196).

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