Extraction of Typical Client Requests from Bank Chat Logs

Екатерина Валерьевна Проноза, Антон Проноза, Елена Викторовна Ягунова

Research output

Abstract

In this paper we propose a simple but powerful method of extracting key client requests from bank chat logs. Many companies nowadays are interested in building a chat bot to optimize their business, and are ready to provide chat bot developers with large amounts of data, but such data often need special preparation to be successfully used for a chat bot system. We propose a method of data preparation which includes not only data cleaning but also data mining: we extract key notions from chat logs and retrieve typical client requests in generalized form. The method uses simple metrics as well as word embeddings and additional semantic resources to extract typical client requests from client-manager chat logs.
Translated title of the contributionИзвлечение шаблонов клиентских запросов из банковских чат-логов
Original languageEnglish
Title of host publicationAdvances in Computational Intelligence
Subtitle of host publication17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part II
Place of PublicationSwitzerland
PublisherSpringer Nature
Pages156-164
Number of pages9
Volume11289 LNAI
ISBN (Electronic)978-3-030-04497-8
ISBN (Print)978-3-030-04496-1
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume11289
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Scopus subject areas

  • Computer Science Applications

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