Kemerovo, Russian Federation
UDC 81-139
CSCSTI 16.31
Russian Classification of Professions by Education 45.04.01
As business texts enter media discourse, their derivational and variable-interpretive potential changes. Within the framework of official business discourse, business texts are standardized, clichéd, and neutral in sentiment. Media texts derived from business texts possess a specific communicative strategy that gives them elements of critical or approving tonality. This article describes the impact patterns of media (secondary / derivative) text sentiment and its communicative construction strategy on the interpretation of the source (primary / producing) business text. Using neural network sentiment analysis (DeepSeek), the authors identified media texts with a neutral sentiment, neutral sentiment with elements of latent critical tonality, and neutral sentiment with elements of positive (approving) sentiment. The intent analysis revealed the following communicative strategies for constructing media texts, combined with their sentiment: objective-critical presentation of facts; explanatory presentation of facts; selective presentation of facts (selective positive information); objective presentation of facts (complete information). An interpretive experiment, in which media texts were used as stimulus, revealed a number of correlations between the communicative strategies for constructing a media text, its sentiment, and the interpretation of the source business text. A neutral sentiment with positive (approving) elements, combined with an explanatory construction strategy, made the business text more comprehensible.
sentiment, communication strategies, text derivation, text adaptation, variable-interpretative functioning of text, neural network analysis, intent analysis, interpretive experiment
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