This paper is devoted to solve a task of ranging emotive words using methods of tone classification in order to analyze author’s opinion and to effectively perceive useful information from the Internet data. These methods include word-ranging, determination of importance using Fishburne method, pair comparison, hypothesis of Purto and others. They all differ in coefficients, norms, using logarithmic scales though their task is to find out the sequences of words / phrases without deep analysis of their tone, emotional color, and the relationship between them. As a result, platform has been prepared for computing integrated value, which will allow to make opinion mining of user’s profile, author etc.
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