Aspect-level sentiment analysis on goods and services tax tweets with dropout DNN
E. Deepak Chowdary, S. Venkatramaphanikumar and K. Venkata Krishna Kishore
| Year of publication: |
2020
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|---|---|
| Authors: | Chowdary, E. Deepak ; Kumar, Venkatrama Phani Sistla ; Kishore, K. Venkata Krishna |
| Published in: |
International journal of business information systems : IJBIS. - [Olney, Bucks.] : Inderscience Enterprises, ISSN 1746-0980, ZDB-ID 2436031-4. - Vol. 35.2020, 2, p. 239-264
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| Subject: | goods and services tax | GST | natural language processing | NLP | sentiment analysis | improved principal component analysis | IPCA | probabilistic latent semantic analysis | PLSA | dropout deep neural network | D-DNN |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJBIS.2020.110173 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012313017