APPLICATIONS TO SENTIMENT ANALYSIS USING RASPBERRY AND DIFFERENT MICROCONTROLLERS FOR DATA STREAMS CLASSIFICATION IN THE CONTEXT OF COVID-19

Valentin Mogoroase
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Valentin Mogoroase: University of Craiova, Department of Statistics and Informatics Faculty of Economics and Business Administration Craiova, Romania

Annals of University of Craiova - Economic Sciences Series, 2020, vol. 1, issue 48, 121-132

Abstract: Using Raspberry Pi in order to perform an advanced Sentiment Analysis task, based on the pandemic context of COVID-19 and the classification process of all related tweets coming from my Twitter developer account as Positive or Negative. In additional a temperature senor connected to an IOT platform will be used to collect all critical values, in real time.

Keywords: Sentiment Analysis; Raspberry Pi; Temperature Sensor; Groove Relay; IOT Platform; COVID-19. (search for similar items in EconPapers)
JEL-codes: D81 D85 D91 O31 O33 O35 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:aio:aucsse:v:1:y:2020:i:48:p:121-132

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