Novel Big Data Approach for Text Supported Service Operations Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU147869" target="_blank" >RIV/00216305:26220/22:PU147869 - isvavai.cz</a>

Výsledek na webu

<a href="https://books.google.cz/books?id=I7NeEAAAQBAJ&pg=PA163&lpg=PA163&dq=10.1007/978-3-030-87304-2_6&source=bl&ots=Vhot6SHok2&sig=ACfU3U0rOHVxYsT1yVAIafaxLAv1J6_WVw&hl=cs&sa=X&ved=2ahUKEwiDudej5879AhWGQ_EDHQFiC7gQ6AF6BAgIEAM#v=onepage&q=10.1007%2F978-3-030-87304-2_6&f=false" target="_blank" >https://books.google.cz/books?id=I7NeEAAAQBAJ&pg=PA163&lpg=PA163&dq=10.1007/978-3-030-87304-2_6&source=bl&ots=Vhot6SHok2&sig=ACfU3U0rOHVxYsT1yVAIafaxLAv1J6_WVw&hl=cs&sa=X&ved=2ahUKEwiDudej5879AhWGQ_EDHQFiC7gQ6AF6BAgIEAM#v=onepage&q=10.1007%2F978-3-030-87304-2_6&f=false</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-87304-2_6" target="_blank" >10.1007/978-3-030-87304-2_6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Novel Big Data Approach for Text Supported Service Operations Management

Popis výsledku v původním jazyce

Operations management is being applied across all industry sectors and offers more accurate decision making, cost saving and a path to lean production. All depend on proper information, which is a valuable input for operations management and can represent the key to gain competitive advantage. Thanks to the information, we can improve and optimize processes and react to problems before they even appear. Unfortunately, getting this knowledge is often a challenging task. It is estimated that only a small portion of publicly available data can be considered as valuable. Considering the size of today's data storage, it is out of possibilities for anyone to read them all and operatively react to the changing environment and competition. In case of the text data, they are often written in many different languages, use different expert domains or customer segments, who have their own specific language style. To gain valuable information from this data, it is necessary to know each particular language (not necessarily human, but also machine generated) and grammar. This chapter presents the latest advances in artificial intelligence for the text data analysis and operations management. First, we provide the state of the art of the text processing approaches, then we discuss selected use-cases from the field of operations management and how the latest methods can help to solve those problems. The last part of the chapter outlines some ideas for further improvement of the current approaches and how to effectively analyse data in a multilingual environment and decrease memory demands.

Název v anglickém jazyce

Novel Big Data Approach for Text Supported Service Operations Management

Popis výsledku anglicky

Operations management is being applied across all industry sectors and offers more accurate decision making, cost saving and a path to lean production. All depend on proper information, which is a valuable input for operations management and can represent the key to gain competitive advantage. Thanks to the information, we can improve and optimize processes and react to problems before they even appear. Unfortunately, getting this knowledge is often a challenging task. It is estimated that only a small portion of publicly available data can be considered as valuable. Considering the size of today's data storage, it is out of possibilities for anyone to read them all and operatively react to the changing environment and competition. In case of the text data, they are often written in many different languages, use different expert domains or customer segments, who have their own specific language style. To gain valuable information from this data, it is necessary to know each particular language (not necessarily human, but also machine generated) and grammar. This chapter presents the latest advances in artificial intelligence for the text data analysis and operations management. First, we provide the state of the art of the text processing approaches, then we discuss selected use-cases from the field of operations management and how the latest methods can help to solve those problems. The last part of the chapter outlines some ideas for further improvement of the current approaches and how to effectively analyse data in a multilingual environment and decrease memory demands.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Big Data and Blockchain for Service Operations Management: Studies in Big Data

ISBN

978-3-030-87304-2

Počet stran výsledku

27

Strana od-do

163-189

Počet stran knihy

344

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

Neuveden

Kód UT WoS kapitoly

—