14 Publications

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[14]
2020 | Conference Paper | LibreCat-ID: 15635
Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis
J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.
LibreCat | Files available
 
[13]
2020 | Conference Paper | LibreCat-ID: 15580
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.
LibreCat | Files available
 
[12]
2020 | Conference Paper | LibreCat-ID: 15256
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers
J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.
LibreCat | Files available
 
[11]
2020 | Book Chapter | LibreCat-ID: 17905
Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks
J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, n.n., 2020, p. n.n.
LibreCat | Files available
 
[10]
2020 | Conference Paper | LibreCat-ID: 18686
Semantic Tagging of Requirement Descriptions: A Transformer-based Approach
J. Kersting, F.S. Bäumer, in: Proceedings of the 17th International Conference on Applied Computing, IADIS, 2020, pp. 119--123.
LibreCat | Files available
 
[9]
2020 | Book Chapter | LibreCat-ID: 17347
Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging
F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: Information and Software Technologies: 26th International Conference, ICIST 2020, Kaunas, Lithuania, 15th-17th October, 2020, Proceedings, Springer, 2020, pp. 368--382.
LibreCat | Files available | DOI
 
[8]
2020 | Conference Paper | LibreCat-ID: 15582
Detection of Privacy Disclosure in the Medical Domain: A Survey
B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.
LibreCat | Files available
 
[7]
2019 | Journal Article | LibreCat-ID: 8424 LibreCat | Files available | DOI | Download (ext.)
 
[6]
2019 | Conference Paper | LibreCat-ID: 9613
In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F.S. Bäumer, M. Geierhos, in: M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2019, pp. 147–155.
LibreCat | Files available | Download (ext.)
 
[5]
2018 | Conference Paper | LibreCat-ID: 4349
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F.S. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: A. Khalili, M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), CEUR-WS.org, 2018.
LibreCat | Files available | Download (ext.)
 
[4]
2018 | Book Chapter | LibreCat-ID: 4338
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F.S. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Communications in Computer and Information Science, Springer, Cham, Switzerland, 2018, pp. 43–58.
LibreCat | Files available | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 1159
Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach
J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 528–538.
LibreCat | Files available | DOI
 
[2]
2017 | Book Chapter | LibreCat-ID: 1161
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.
LibreCat | Files available | DOI
 
[1]
2017 | Conference Paper | LibreCat-ID: 1156
Internet of Things Architecture for Handling Stream Air Pollution Data
J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2017, pp. 117–124.
LibreCat | Files available | DOI
 

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14 Publications

Mark all

[14]
2020 | Conference Paper | LibreCat-ID: 15635
Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis
J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.
LibreCat | Files available
 
[13]
2020 | Conference Paper | LibreCat-ID: 15580
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.
LibreCat | Files available
 
[12]
2020 | Conference Paper | LibreCat-ID: 15256
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers
J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.
LibreCat | Files available
 
[11]
2020 | Book Chapter | LibreCat-ID: 17905
Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks
J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, n.n., 2020, p. n.n.
LibreCat | Files available
 
[10]
2020 | Conference Paper | LibreCat-ID: 18686
Semantic Tagging of Requirement Descriptions: A Transformer-based Approach
J. Kersting, F.S. Bäumer, in: Proceedings of the 17th International Conference on Applied Computing, IADIS, 2020, pp. 119--123.
LibreCat | Files available
 
[9]
2020 | Book Chapter | LibreCat-ID: 17347
Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging
F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: Information and Software Technologies: 26th International Conference, ICIST 2020, Kaunas, Lithuania, 15th-17th October, 2020, Proceedings, Springer, 2020, pp. 368--382.
LibreCat | Files available | DOI
 
[8]
2020 | Conference Paper | LibreCat-ID: 15582
Detection of Privacy Disclosure in the Medical Domain: A Survey
B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.
LibreCat | Files available
 
[7]
2019 | Journal Article | LibreCat-ID: 8424 LibreCat | Files available | DOI | Download (ext.)
 
[6]
2019 | Conference Paper | LibreCat-ID: 9613
In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F.S. Bäumer, M. Geierhos, in: M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2019, pp. 147–155.
LibreCat | Files available | Download (ext.)
 
[5]
2018 | Conference Paper | LibreCat-ID: 4349
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F.S. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: A. Khalili, M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), CEUR-WS.org, 2018.
LibreCat | Files available | Download (ext.)
 
[4]
2018 | Book Chapter | LibreCat-ID: 4338
Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F.S. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Communications in Computer and Information Science, Springer, Cham, Switzerland, 2018, pp. 43–58.
LibreCat | Files available | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 1159
Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach
J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 528–538.
LibreCat | Files available | DOI
 
[2]
2017 | Book Chapter | LibreCat-ID: 1161
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.
LibreCat | Files available | DOI
 
[1]
2017 | Conference Paper | LibreCat-ID: 1156
Internet of Things Architecture for Handling Stream Air Pollution Data
J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2017, pp. 117–124.
LibreCat | Files available | DOI
 

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