ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM

Cristian Bucur
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Cristian Bucur: University of Economic Studies, Bucharest, Romania, Petroleum And Gas University of Ploiesti, Romania

Annals - Economy Series, 2015, vol. Special, 154-159

Abstract: A new domain of research evolved in the last decade, called sentiment analysis that tries to extract knowledge from opinionated text documents. The article presents an overview of the domain and present an architecture of a system that could perform sentiment analysis processes. Based on previous researches are presented two methods for performing classification and the results obtained.

Keywords: sentiment analysis; opinion mining; supervised machine learning; unsupervised algorithms (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2015:v:special:p:154-159

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