ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM

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