Sentiment Analysis: how we achieve 90% accuracy

Investing, with persistence, consistency and method, in artificial intelligence and machine learning, @ PaloServices we can achieve up to 90% accuracy in sentiment analysis. The company, working with dedicated and experienced Data Scientists and Data Analysts, develops and maintains separate customer sentiment prediction models, in the Greek language, considering Sentiment Analysis as a “flagship” service of web and social media monitoring.

Partners in the development of our Sentiment Analysis technology are the Research Group of the Department of Cultural Technology and Communication at the University of the Aegean and the Laboratory of Knowledge and Uncertainty of the University of Peloponnese, through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE.


We achieve 90% accuracy

in sentiment analysis from web and social media