COMPARISON OF ACCURACY OF SENTIMENT ANALYSIS ALGORITHM ON TWITTER MESSAGES
Journal: International Scientific Journal "Internauka" (Vol.3, No. 5)Publication Date: 2016-05-31
Authors : Olashyn Oleksandr; Shypik Danil;
Page : 107-109
Keywords : sentiment analysis; naive bayes classifier; twitter; SVM; bigrams;
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.
Other Latest Articles
- PULSE JET-MODE HYDRODYNAMICS FLUIDIZATION WITH DIRECTED CIRCULATION
- DESIGN OF THE INVERTED PAGE TABLE
- FEATURES OF USE OF LUMINESCENT LAMPS OF LOW PRESSURE FOR LIGHTING IN INDUSTRIAL, CIVIL AND IN HOUSEHOLD ROOMS
- ДОСЛІДЖЕННЯ СЕРВІСУ ПЕРЕДАЧІ МЕДІА ДАНИХ З РОЗЩЕПЛЕНИМИ АУДІО ТА ВІДЕО ПОТОКАМИ
- AN IMPROVEMENT OF TRANSPORT SAFETY RATE
Last modified: 2016-08-05 00:39:14