A semi-supervised approach in detecting sentiment and emotion based on digital payment reviews

Author:

Balakrishnan VimalaORCID,Lok Pik Yin,Abdul Rahim Hajar

Funder

Kementerian Pendidikan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference53 articles.

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2. Zhang L, Chen S (2019) China’s digital economy: opportunities and risks. https://www.imf.org/en/Publications/WP/Issues/2019/01/17/Chinas-Digital-Economy-Opportunities-and-Risks-46459 (Accessed November 25, 2019)

3. Kharpal A (2019) Alibaba breaks Singles Day record with more than $38 billion in sales. https://www.cnbc.com/2019/11/11/alibaba-singles-day-2019-record-sales-on-biggest-shopping-day.html (Accessed December 2, 2019)

4. Kaur W, Balakrishnan V (2018) Improving sentiment scoring mechanism: a case study on airline services. Ind Manag Data Syst 118(8):1578–1596

5. Li G (2017) Application of sentiment analysis: assessing the reliability and validity of the global airlines rating program. In: 9th IBA Bachelor Thesis Conference, Enschede, The Netherlands, pp 1–12

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