The paper addresses the questions of abusive content identification in the Internet. It is presented the solving of the task of toxic online comments classification, which was issued on the site of machine learning Kaggle (www.Kaggle.com) in March of 2018. Based on the analysis of initial data, four models for solving the task are proposed: logistic regression model and three neural networks models-convolutional neural network (Conv), long shortterm memory (LSTM), and Conv + LSTM. All models are realized as a program in Python 3, which has simple structure and can be adapted to solve other tasks. The results of the classification problem solving with help of proposed models are presented. It is concluded that all models provide successful solving of the task, but the combined model Conv + LSTM is the most effective, so as it provides the best accuracy.

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In recent years, Bulgarian organic agriculture is one of the sectors that is developing rapidly despite of the overall stagnation in Bulgarian agriculture and is continuously growing in farming areas as well as in number of farmers. This development is related to the suitable conditions for its adoption in our country - ecologically preserved areas; awareness and willingness of consumers to eat healthy; the realization of the benefits to the environment and rural areas; institutional support for organic farming and the good perception of organic products on international markets.Aim: Examine the condition and opportunities for development of sustainable organic farming in Bulgaria.Design / Research methods: The methods used to complete the tasks are systematic and comparative analysis, an estimated constructive method; method of statistical groupings, inductive and deductive methods of forming generalizations.Conclusions / findings: Organic farming combines the best environmental practices, biodiversity heightening, nature conservation and high production standards. At the same time, it provides public goods in terms of rural development and responds to specific consumer demand for clean and healthy products.Originality / value of the article: Organic production is an international, European and national priority. Organic farming plays an important part in the Common agricultural policy of EU for the 2014-2020 period, as well as for Bulgarian agricultural policy as a tool in regards to the sustainable management of natural resources, the preservation of food quality and safety and the humane farming means.

Purpose: The purpose of the present study is to evaluate and analyse the current legislation framework for the settlement of land relations in Bulgaria, to draw conclusions and recommendation for its improvement. Methods: The main methods of application for research and analysis are: systematic analysis, logical approach, normative method, synthesis, etc. Results: Through the research and analysis of the legal framework, significant contradictions and weaknesses are identified, which impede the successful settlement of land relations in the country. Guidelines are provided for changes which are meant to contribute for solving specific problems. Conclusion: The performed legal analysis of the normative regulations, which govern the land relations reveals the need for a normative initiative for overcoming gaps and contradictions in the legislation in this field, in order to fully protect the rights and interests of the legal entities.

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