COMPARISON OF ACCURACY OF SENTIMENT ANALYSIS ALGORITHM ON TWITTER MESSAGES
Journal Title: Международный научный журнал "Интернаука" - Year 2016, Vol 2, Issue 5
Abstract
A comparison of the efficiency of different sentiment analysis algorithms (naive bayes classifier and SVM) was made using a set of twitter comments. A general conclusion is made concerning the effectiveness of these algorithms.
Authors and Affiliations
Oleksandr Olashyn, Danil Shypik
Keywords
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