Evidence map›Paper›PMID 35890994›Full record

ArticleSensors (Basel, Switzerland)2022

Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications.

Mirosław Płaza, Sławomir Trusz, Justyna Kęczkowska, Ewa Boksa, Sebastian Sadowski, Zbigniew Koruba

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mirosław PłazaFaculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314 Kielce, Poland.ORCID 0000-0001-9728-3630
Sławomir TruszInstitute of Educational Sciences, Pedagogical University in Kraków, ul. 4 Ingardena, 30-060 Cracow, Poland.ORCID 0000-0002-7572-018X
Justyna KęczkowskaFaculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314 Kielce, Poland.ORCID 0000-0002-2309-3065
Ewa BoksaFaculty of Humanities, Jan Kochanowski University, ul. Żeromskiego 5, 25-369 Kielce, Poland.ORCID 0000-0003-3041-8283
Sebastian SadowskiDHL Parcel Poland, ul. Osmańska 2, 02-823 Warszawa, Poland.
Zbigniew KorubaFaculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314 Kielce, Poland.

Funding

Narodowe Centrum Badań i Rozwoju POIR.04.01.04-00-0079/19
6 · The paper itself

Abstract

Over the past few years, virtual assistant solutions used in Contact Center systems are gaining popularity. One of the main tasks of the virtual assistant is to recognize the intentions of the customer. It is important to note that quite often the actual intention expressed in a conversation is also directly influenced by the emotions that accompany that conversation. Unfortunately, scientific literature has not identified what specific types of emotions in Contact Center applications are relevant to the activities they perform. Therefore, the main objective of this work was to develop an

Indexed as

AlgorithmsEmotionsFearHappinessMachine Learningcall/contact centerchatbotemotions recognitionvirtual assistantvoicebot

Identifiers

PMID35890994
PMCPMC9321989

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.