Anti-monopoly supervision model of platform economy based on big data and sentiment
With the advent of the cloud computing era, big data technology has also developed rapidly. Due to the huge volume, variety, fast processing speed and low value density of big data, traditional data storage, extraction, transformation and analysis technologies are not suitable, so new solutions for...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.953271/full |
| _version_ | 1818002151834648576 |
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| author | Sihan Liu |
| author_facet | Sihan Liu |
| author_sort | Sihan Liu |
| collection | DOAJ |
| description | With the advent of the cloud computing era, big data technology has also developed rapidly. Due to the huge volume, variety, fast processing speed and low value density of big data, traditional data storage, extraction, transformation and analysis technologies are not suitable, so new solutions for big data application technologies are needed. However, with the development of economic theory and the practice of market economy, some links in the industrial chain of natural monopoly industries already have a certain degree of competitiveness. In this context, the article conducts a research on the anti-monopoly supervision mode of platform economy based on big data and sentiment analysis. This paper introduces the main idea of MapReduce, the current software implementation specifies a Map function that maps a set of key-value pairs into a new set of key-value pairs. It specifies a concurrent Reduce function that guarantees that each of all mapped key-value pairs share the same set of keys. establishes a vector space model, and basically realizes the extraction of text emotional elements. It introduces the theoretical controversy of antitrust regulation of predatory pricing behavior of third-party payment platforms, and conducted model experiments. The experimental results show that the throughput of 40 test users in 1 h of test is determined by two factors, QPS and the number of concurrent, where QPS = 40/(60*60) transactions/second. The time for each test user to log in to the system is 10 min, and the average response time is 10*60 s, then the number of concurrency = QPS*average response time = 40/(60*60)*10*60 = 6.66. This paper has successfully completed the research on the anti-monopoly supervision model of platform economy based on big data and sentiment analysis. |
| first_indexed | 2024-04-14T03:42:03Z |
| format | Article |
| id | doaj.art-1f3263998b9f4b94bd359c969ebb6568 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-14T03:42:03Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-1f3263998b9f4b94bd359c969ebb65682022-12-22T02:14:27ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-07-011310.3389/fpsyg.2022.953271953271Anti-monopoly supervision model of platform economy based on big data and sentimentSihan LiuWith the advent of the cloud computing era, big data technology has also developed rapidly. Due to the huge volume, variety, fast processing speed and low value density of big data, traditional data storage, extraction, transformation and analysis technologies are not suitable, so new solutions for big data application technologies are needed. However, with the development of economic theory and the practice of market economy, some links in the industrial chain of natural monopoly industries already have a certain degree of competitiveness. In this context, the article conducts a research on the anti-monopoly supervision mode of platform economy based on big data and sentiment analysis. This paper introduces the main idea of MapReduce, the current software implementation specifies a Map function that maps a set of key-value pairs into a new set of key-value pairs. It specifies a concurrent Reduce function that guarantees that each of all mapped key-value pairs share the same set of keys. establishes a vector space model, and basically realizes the extraction of text emotional elements. It introduces the theoretical controversy of antitrust regulation of predatory pricing behavior of third-party payment platforms, and conducted model experiments. The experimental results show that the throughput of 40 test users in 1 h of test is determined by two factors, QPS and the number of concurrent, where QPS = 40/(60*60) transactions/second. The time for each test user to log in to the system is 10 min, and the average response time is 10*60 s, then the number of concurrency = QPS*average response time = 40/(60*60)*10*60 = 6.66. This paper has successfully completed the research on the anti-monopoly supervision model of platform economy based on big data and sentiment analysis.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.953271/fullbig datasentiment analysisplatform economy antitrust supervision modelvector space modelmodel of economic anti-monopoly supervision |
| spellingShingle | Sihan Liu Anti-monopoly supervision model of platform economy based on big data and sentiment Frontiers in Psychology big data sentiment analysis platform economy antitrust supervision model vector space model model of economic anti-monopoly supervision |
| title | Anti-monopoly supervision model of platform economy based on big data and sentiment |
| title_full | Anti-monopoly supervision model of platform economy based on big data and sentiment |
| title_fullStr | Anti-monopoly supervision model of platform economy based on big data and sentiment |
| title_full_unstemmed | Anti-monopoly supervision model of platform economy based on big data and sentiment |
| title_short | Anti-monopoly supervision model of platform economy based on big data and sentiment |
| title_sort | anti monopoly supervision model of platform economy based on big data and sentiment |
| topic | big data sentiment analysis platform economy antitrust supervision model vector space model model of economic anti-monopoly supervision |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.953271/full |
| work_keys_str_mv | AT sihanliu antimonopolysupervisionmodelofplatformeconomybasedonbigdataandsentiment |