Интеллектуальный анализ текстов в логистике и управлении цепями поставок

Логистика и управление цепями поставок. 2018. № 4 (87). С. 10–18.

Морозова Ю. А.

Currently, the competitiveness of the company largely depends on how it uses the opportunities offered by modern information technologies. The Internet of things, big data, blockchain, artificial intelligence technologies - all of this brings companies to a new level of interaction and competition, gives new opportunities to build logistics processes, adjusts supply chain management. It is no secret that an important factor of success in the market is the possession of information, or rather knowledge. The development of Internet technologies and mobile devices has led to the fact that a rare event is not fixed by people or any device now: visiting the store, a purchase, a trip, a meeting, etc. Information about these and other events is often in free access in the form of text messages in social networks, blogs, news websites, but the problem is to find, to analyze, and to draw conclusions. Text mining tools help to solve these tasks. The article reviews the experience of using text mining tools to solve problems in management, marketing, finance spheres, discusses possible applications of text mining in logistics and supply chain management. The article describes the process, the main typical text mining tasks, a review of the functionalities of modern text mining tools.

Keywords: логистика, управление цепями поставок, logistics, supply chain management, text mining, web mining, интеллектуальные информационные технологии, интеллектуальный анализ текстов, Intelligent Information Technologies