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
Related Articles
- EP ID EP235510
- DOI -
- Views 114
- Downloads 0
THE CONNECTION BETWEEN PSYCHOLOGICAL CHARACTERISTICS AND INTERPERSONAL CONFLICTS OF INDIVIDUALS WITH ADDICTION
The article presents the results of the study of types of intrapersonal conflict, the most inherent to drug-addicted persons, and establishes the links between these conflicts with personal and typological characteristic...
SCALING OF LOAD WEB-APPLICATIONS
Researched principles of reduce the load on web-application through optimization and scaling. There was considered the methods of scaling and methods of their application.
THE GENERATION OF A COMIC–CULTURE: ADVANTAGES, FUNCTIONS, VALUES
The article examines the specific of graphic literature, its importance for culture, identifies the advantages of the form of comics, justifies the need of creation of a comic culture in Ukraine.
CONSTRUCTION ATLAS FORMS OF ATOMIC NUCLEUSES
The methods of generating structural formulas and images offered to describe the shape of the nuclei in the unexcited state over the entire range of mass numbers, including isotopes and isomers.
INFLUENCE OF THE PHYSIOLOGICAL PROPERTIES OF THE ORGANISM ON THE IMMUNE STATUS AND MORPHOLOGICAL INDICATORS OF GOAT BLOOD
Due to changes in the physiological state of the body, the blood kozomatok certain degree of observed changes in the total number of formed elements, but the change is within the physiological range.