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Environmental deterioration is a challenge for all major cities. Public authorities improve environment monitoring systems, develop and implement measures to reduce the negative consequences of manufacturing activities, inform the population. The article analyzes data on the state and dynamics of the environment status in Kemerovo (Western Siberia, Russia), where a large number of manufacturing enterprises are concentrated. The results of Kemerovo population survey aimed at assessment of perception of the air and water pollution degree, the attitude to the influence of meteorological conditions and landscape features on the environment status, and identification of respondents’ opinions about the enterprises having the greatest impact on the environment are described. In addition, the survey assessed changes in the environment status and the degree of personal concern of citizens. The results of the survey were compared with statistic data; a number of discrepancies were identified. The authors offer some recommendations for public authorities on working with the population on environmental issues.

Sentiment analysis is a modern task in natural language processing and linguistics. Also referred to as opinion mining, it deals with different kinds of affective states: opinion, emotions, stance and evaluations. Sentiment itself is the polarity of these affective states. Taking analytical articles as source material for the study, several problems should be considered. Firstly, these texts broaden the understanding of the subject of opinion, because it does not coincide with the author of the text in the majority of cases. Secondly, subjects and objects of opinion are entities – words or word combinations with strictly denoted referent. In the paper only Named Entities, that are normally expressed by proper nouns, are considered. This kind of sentiment analysis requires deeper research of possible sentiment relations between entities and of lexical and grammatical influence on these relations. The paper is devoted to the study of the influence of the group of lexemes on opinion structure. The research shows that mutual sentiment can be presented as stable patterns.

The development programs of coal mining enterprises pay special attention to the increase in production potential and the penetration of new market niches, as well as the organization of rational interaction with related industries. The creation of clusters in such conditions contributes to the sustainable development of the region. The exhibition activities of coal mining enterprises play an important role in establishing rational interaction with companies of coal and related industries, thus creating favorable conditions for the modernization of Russian coal mining and processing enterprises. The article focuses on the pre-show stage of the exhibition activity of coal mining enterprises devoted to planning and preparing for the exhibition event. The series of decisions made during the stage include setting goals of participation, choosing the exhibition event, determining the form of participation, designing the stand, planning onstand and off-stand activities, preparing information, advertising and souvenir materials, recruiting and training of the exhibition staff.