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000075045 005__ 20200729203742.0
000075045 0247_ $$2doi$$a10.26342/2018-61-19
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000075045 037__ $$aART-2018-107372
000075045 041__ $$aeng
000075045 100__ $$0(orcid)0000-0002-3886-7748$$aOrtega, A.$$uUniversidad de Zaragoza
000075045 245__ $$aAMIC: Affective multimedia analytics with inclusive and natural communication
000075045 260__ $$c2018
000075045 5060_ $$aAccess copy available to the general public$$fUnrestricted
000075045 5203_ $$aTraditionally, textual content has been the main source of information extraction and indexing, and other technologies that are capable of extracting information from the audio and video of multimedia documents have joined later. Other major axis of analysis is the emotional and affective aspect intrinsic in human communication. This information of emotions, stances, preferences, figurative language, irony, sarcasm, etc. is fundamental and irreplaceable for a complete understanding of the content in conversations, speeches, debates, discussions, etc. The objective of this project is focused on advancing, developing and improving speech and language technologies as well as image and video technologies in the analysis of multimedia content adding to this analysis the extraction of affective-emotional information. As additional steps forward, we will advance in the methodologies and ways for presenting the information to the user, working on technologies for language simplification, automatic reports and summary generation, emotional speech synthesis and natural and inclusive interaction.
000075045 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-85854-C4-1-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-85854-C4-2-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-85854-C4-3-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-85854-C4-4-R
000075045 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000075045 592__ $$a0.235$$b2018
000075045 593__ $$aComputer Science Applications$$c2018$$dQ2
000075045 593__ $$aLinguistics and Language$$c2018$$dQ2
000075045 593__ $$aLanguage and Linguistics$$c2018$$dQ2
000075045 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000075045 700__ $$0(orcid)0000-0001-9137-4013$$aLleida, E.$$uUniversidad de Zaragoza
000075045 700__ $$aSan-Segundo, R.
000075045 700__ $$aFerreiros, J.
000075045 700__ $$aHurtado, L.
000075045 700__ $$aSanchis, E.
000075045 700__ $$aTorres, M.I.
000075045 700__ $$aJusto, R.
000075045 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000075045 773__ $$g61 (2018), 147-150$$pProces. leng. nat.$$tPROCESAMIENTO DEL LENGUAJE NATURAL$$x1135-5948
000075045 8564_ $$s76142$$uhttps://zaguan.unizar.es/record/75045/files/texto_completo.pdf$$yVersión publicada
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000075045 951__ $$a2020-07-29-20:20:23
000075045 980__ $$aARTICLE