Keyword: «named entities»

Study of trends in the development of medical terminology based on the analysis of natural language texts

Authors:

Anna Abramova,

Aleksandr Korovin,

Valerii Goryachev,

Egor Karpyshin

This article describes the project of building a multimodal medical system (MMIS). The MMIS development project is based on the idea of analyzing the evolution of medical terminology. The main essence of this idea is to upload data from the PubMed medical electronic library, form a corpus of texts based on a search query, analyze the uploaded texts, highlight potentially new medical terms, and form a dictionary of terms. Based on the glossary of terms, the change in terminology is studied, trends in terminology changes, trends in interest in terminology are built.

Keywords: term, trends, text analysis, term extraction, named entities

METHODS OF SEARCHING AND RECOGNIZING NAMED ENTITIES FOR ANALYSIS OF TEXTS WHEN CREATING A NARROWLY FOCUSED INFORMATION RETRIEVAL SERVICE “PRAI”

Author:

Boris Shishkin

Email marketing is one of the main tools that a PR and marketing professional should have. According to global research, email newsletters continue to be the leading sales and partnership channel for B2B companies. But it’s mainly targeted emails that show high conversion rates. You can reduce the time spent searching for information about counterparties when preparing targeted mailings using artificial intelligence technology, which is used in the PRAI service, which is currently being developed by Prai LLC.

Keywords: public relations, pr, artificial intelligence, information search, natural language, named entities, email marketing, email newsletter, email, personalized letters