Journal "Software Engineering"
a journal on theoretical and applied science and technology
ISSN 2220-3397

Issue N9 2013 year

Recognizing Sentiments of Short Text Messages
G. M. Gankin , e-mail: gregorian21@yandex.ru

This paper presents results of research aimed at the implementation of tools to recognize sentiments in text messages in Russian. In particular, we consider ways and means of classification of short texts on a scale of "positive-negative". The review of existing solutions and results in this area are showed, as well as their classification. The suggested solutions are based on a common machine learning algorithm — Support Vector Machine (SVM). The final part contains the results of a comparative analysis of the proposed and existing solutions

Keywords: text analysis, opinion mining, machine learning
pp. 33–41