Text Data Pre-Processing for Time-series Modelling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148078" target="_blank" >RIV/00216305:26220/23:PU148078 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10109034" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10109034</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA57919.2023.10109034" target="_blank" >10.1109/RADIOELEKTRONIKA57919.2023.10109034</a>

Result language
angličtina
Original language name
Text Data Pre-Processing for Time-series Modelling
Original language description
The paper proposes an algorithm of text data representation for time-series econometric modeling. We link two areas in empirical econometrics, text mining and time-series modeling, and provide a multi-step methodology for processing qualitative text data for quantitative time-series models. We also present an empirical example of text data processing of research article meta-data in economics and show its applicability to sentiment analysis using annual data from 1933 - 2015
Czech name
—
Czech description
—

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
33rd International Conference Radioelektronika (RADIOELEKTRONIKA)
ISBN
979-8-3503-9834-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
„“-„“
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Pardubice
Event location
Pardubice
Event date
Apr 19, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000990505700010

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