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Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-022-11929-w
Abstract: Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from unstructured text data such as product reviews or microblogs. It is used to gain feedback from political campaigns,…
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Keywords:
analysis;
dnn;
demonetization;
sentiment analysis ... See more keywords
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Published in 2018 at "ICT Express"
DOI: 10.1016/j.icte.2017.03.001
Abstract: Abstract All government policies have a down side and the burden of the down side is often felt only by the common man. This paper considers one such government policy, the demonetization of high denomination…
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Keywords:
sentiment analysis;
analysis;
indian government;
demonetization ... See more keywords
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Published in 2021 at "Telecommunications Policy"
DOI: 10.1016/j.telpol.2020.102079
Abstract: Abstract The Indian demonetizations of November 2016 came at an entirely new scale to those of January 1946 and January 1978. This time around, the Narendra Modi government's measures applied to 86.4% of the banknotes…
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Keywords:
demonetization digitalization;
indian government;
digitalization indian;
demonetization ... See more keywords
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Published in 2019 at "Journal of Science and Technology Policy Management"
DOI: 10.1108/jstpm-07-2017-0033
Abstract: PurposeThis study aims to investigate the actual usage (AU) of digital payment systems by the consumers during the period of demonetization (from November 9, 2016 to December 30, 2016) in India.Design/methodology/approachThe conceptual frame work for…
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Keywords:
demonetization;
payment systems;
study;
payment ... See more keywords
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Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3555209
Abstract: YouTube has long been a top-choice destination for independent video content creators to share their work. A large part of YouTube's appeal is owed to its practice of sharing advertising revenue with qualifying content creators…
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Keywords:
algorithm;
demonetization;
transparency;
paying attention ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268965
Abstract: We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford’s Law, a…
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Keywords:
bribe payments;
analytics machine;
forensic analytics;
demonetization ... See more keywords