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41
Refinament de l'anàlisi del sentiment per xarxes neuronals mitjançant tècniques de PLN
Fraire Ferrer, Miquel Àngel. - : Universitat Oberta de Catalunya (UOC), 2021
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42
Auto-observación e inteligencia emocional: estudio pragmático-discursivo del manejo de la impresión en narrativas personales
In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 51, 2021, pags. 137-162 (2021)
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43
A study on consumer strategy of artificial intelligence service using importance-satisfaction analysis
Baek, Changhwa. - : Seoul: People & Global Business Association (P&GBA), 2021
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44
Exploring predictors of translation performance
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 13 , Iss 2 (2021) (2021)
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45
The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand guide
Godbole, Aniruddha M.; Bashir Shah, Muzaffar; Chopra, Rohan. - Birmingham, UK : Packt, 2020
BLLDB
UB Frankfurt Linguistik
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46
Natural language processing with Spark NLP : learning to understand text at scale
Thomas, Alex. - Tokyo : O'Reilly, 2020
BLLDB
UB Frankfurt Linguistik
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47
Sentiment analysis : mining opinions, sentiments, and emotions
Liu, Bing. - Cambridge : Cambridge University Press, 2020
BLLDB
UB Frankfurt Linguistik
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48
A project-based approach to translation technology
Mitchell-Schuitevoerder, Rosemary. - New York : Routledge, 2020
BLLDB
UB Frankfurt Linguistik
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49
Automatic processing of Historical Arabic Documents: a comprehensive survey
In: ISSN: 0031-3203 ; Pattern Recognition ; https://hal.archives-ouvertes.fr/hal-02481354 ; Pattern Recognition, Elsevier, 2020, 100, pp.107144-1:107144-17. ⟨10.1016/j.patcog.2019.107144⟩ (2020)
Abstract: International audience ; Nowadays, there is a huge amount of Historical Arabic Documents (HAD) in the national libraries and archives around the world. Analyzing this type of data manually is a difficult and costly task. Thus, an automatic process is required to exploit these documents more rapidly. Processing historical documents is a recent research subject that has seen a remarkable growth in the last years. Processing Historical Arabic Documents is a particularly challenging problem. First, due to complicated nature of Arabic script compared to other scripts and second because the documents are ancient. This paper focuses on this difficult problem and provides a comprehensive survey of existing research work. First, we describe in detail the challenges making the automatic processing of Historical Arabic Documents a difficult task. Second, we classify this task into four applications of automatic processing of HAD: i) Analyze the document to extract the main text ii) Identify the writer of the document iii) Recognize some words or parts of the document in a reference dataset andiv) Retrieve and extract specific data from the document. For each application, existing approaches are surveyed and qualitatively described. Finally, we focus on available datasets and describe how they can be used in each application.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Data retrieval; Historical Arabic Documents; Survey on Historical Arabic Documents; Text analysis; Text recognition; Writer identification
URL: https://hal.archives-ouvertes.fr/hal-02481354
https://hal.archives-ouvertes.fr/hal-02481354/file/S0031320319304455.pdf
https://hal.archives-ouvertes.fr/hal-02481354/document
https://doi.org/10.1016/j.patcog.2019.107144
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50
Analysis of Term Reuse, Term Overlap and Extracted Mappings across AgroPortal Semantic Resources
In: EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-02945172 ; EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management, Sep 2020, Bozen-Bolzano, Italy. pp.71-87, ⟨10.1007/978-3-030-61244-3_5⟩ ; https://ekaw2020.inf.unibz.it/ (2020)
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51
Explainable sentiment analysis application for social media crisis management in retail
In: Cirqueira, Douglas orcid:0000-0002-1283-0453 , Almeida, Fernando, Cakir, Gültekin orcid:0000-0001-9715-7167 , Jacob, Antonio orcid:0000-0002-9415-7265 , Lobato, Fabio orcid:0000-0002-6282-0368 , Bezbradica, Marija orcid:0000-0001-9366-5113 and Helfert, Markus orcid:0000-0001-6546-6408 (2020) Explainable sentiment analysis application for social media crisis management in retail. In: 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: WUDESHI-DR, 5-6 Nov 2020, Budapest, Hungry (Online). ISBN 978-989-758-480-0 (2020)
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52
Using Twitter Streams for Opinion Mining: a case study on Airport Noise
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
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53
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)
In: JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-03049589 ; JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles, Université de Toulouse, Jun 2020, Toulouse, France ; https://jadt2020.sciencesconf.org (2020)
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54
An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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55
NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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56
Dataset for Temporal Analysis of English-French Cognates
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03026957 ; 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.855-859, ⟨10.5281/zenodo.3693650⟩ (2020)
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57
Multimodal analysis : informed content estimation and audio source separation ; Analyse multimodale : estimation informée du contenu et séparation des sources audio
Meseguer Brocal, Gabriel. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03253128 ; Sound [cs.SD]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS111⟩ (2020)
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58
Alas Landscape Modeling by Remote Sensing Image Analysis and Geographic Ontology. Study case of Central Yakutia (Russia)
In: 6th International Conference on Geographic Information Sytems Theory, Applications and Management ; https://hal-amu.archives-ouvertes.fr/hal-02554659 ; 6th International Conference on Geographic Information Sytems Theory, Applications and Management, Polytechnic Institute of Setúbal/IPS; Knowledge Systems Institute; ATHENA Research & Innovation Information Technologies, May 2020, Online Streaming, Portugal. pp.112-118, ⟨10.5220/0009569101120118⟩ ; http://www.insticc.org/node/TechnicalProgram/GISTAM/2020/presentationDetails/95691 (2020)
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59
Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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60
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation ; ANALYSE MULTIMODALE: estimation informée du contenu et séparation des sources audio
Meseguer-Brocal, Gabriel. - : HAL CCSD, 2020
In: https://hal.archives-ouvertes.fr/tel-03200189 ; Sound [cs.SD]. Sorbonne Université, 2020. English (2020)
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