New Language Identification and Sentiment Analysis Modules for Social Media Communication

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126824" target="_blank" >RIV/00216224:14330/22:00126824 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-031-16270-1_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16270-1_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_8" target="_blank" >10.1007/978-3-031-16270-1_8</a>

Result language

angličtina

Original language name

New Language Identification and Sentiment Analysis Modules for Social Media Communication

Original language description

In the presented paper, we describe the development and evaluation of new modules specifically designed for language identification and sentiment analysis of informal business communication inside a large international company. Besides the details of the module architectures, we offer a detailed comparison with other state-of-the-art tools for the same purpose and achieve an improvement of 10–13 % in accuracy with selected problematic datasets.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Article name in the collection

International Conference on Text, Speech, and Dialogue

ISBN

9783031162695

ISSN

0302-9743

e-ISSN

—

Number of pages

13

Pages from-to

89-101

Publisher name

Springer

Place of publication

Cham

Event location

Brno

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000866222300008