извличане на мнения от текст списък от положителни и отрицателни думи
Issue Date:
31-May-2013
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation:
Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013, 268p-273p
Series/Report no.:
ADIS;2013
Abstract:
Тhe idea of the current paper is to propose an algorithm for improving the list of
positive and negative words based on a specific topic. The opinions are classified by a person
or a machine (or combined) and the most frequent words are being found that are not in the
list of stop words. These words are being added to the list and than with a sample classifier is
found improvement in the classification of the already exctracted opinions. Several tests have
been described to show how to test the algorithm.
Description:
Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013
