LEXICON-BASED APPROACH IN GENERALIZATION EVALUATION IN RUSSIAN LANGUAGE MEDIA
Abstract
We consider generalization as a property of human thinking to make general conclusion based on authors’ own experience and observations and one of the techniques of authors use to manipulate the readership and present an algorithm for evaluation of the generalization in texts. The algorithm is based on the lexicon-based approach. To search the generalization we use ready-made dictionary (KEY-dictionary) and RuSentiLex dictionary. KEY-dictionary contains words and phrases (elements) that express the generalization. In RuSentiLex we take the words and phrases that express opinion and fact. The algorithm searches exact matches the elements from text with the elements from the dictionaries, it is also important that the elements from different dictionaries have their weights. New method is developed for automatic detection of generalization in texts from official media. Numerical calculations of generalization were performed using a special software application. To test the proposed approach the expert estimation were used.
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