Flavius Frasincar

Flavius Frasincar

Assistant Professor, Erasmus University Rotterdam, the Netherlands

Flavius Frasincar is an Assistant Professor in computer science at Erasmus University Rotterdam, the Netherlands. He received the Ph.D. degree in computer science, in 2005, from Eindhoven University of Technology, the Netherlands. He has published numerous papers in top conferences and journals in the areas of databases, Web information systems, personalization, machine learning, computational linguistics, and the Semantic Web. Two of his papers received awards: Distinguished Paper for the 16th International Conference on Web Engineering (ICWE 2016) and Best Paper for the Data & Knowledge Engineering Journal 2013. Regarding professional services, he served as the general chair of the 15th International Conference on Web Engineering (ICWE 2015), vice-general chair of the 21st International Conference on Web Engineering (ICWE 2021), and PC co-chair of the 19th International Conference on Web Engineering (ICWE 2019) and 22nd International Conference on Natural Language & Information Systems (NLDB 2017). He is a member of the editorial boards of Decision Support Systems, Information Processing & Management, International Journal of Web Engineering and Technology, and Computational Linguistics in the Netherlands Journal, and co-editor-in-chief of Journal of Web Engineering. He is a member of the Association for Computing Machinery (ACM) and International Society for Web Engineering (ISWE).

More info at: https://personal.eur.nl/frasincar/

Abstract: Aspect-Based Sentiment Classification

The World Wide Web is the most popular platform for people to express their opinions about products or services. Being able to extract the sentiments associated with these opinions is useful for both companies and consumers alike. Due to the sheer amount of opinionated textual data, manual extraction of sentiment is virtually impossible that is why Sentiment Analysis (SA) aims to automatically extract sentiment. A popular subfield of SA is Aspect-Based Sentiment Analysis (ABSA), which proposes to extract the sentiments associated with the aspects of the entities of interest, providing thus detailed sentiment information. ABSA has two main tasks: Aspect Detection (AD), which aims to discover the aspects of the entities of interest, and Aspect-Based Sentiment Classification (ABSC), which aims to determine the sentiments associated with these aspects. This talk focuses on ABSC, where current approaches are classified as: knowledge-based, machine learning, and hybrid models. Due to their good performance, special attention is payed to deep learning solutions based on the transformer model and hybrid models that combine deep learning with knowledge bases. At the end, future research directions are identified for ABSC. This presentation is partially based on “A Survey on Aspect-Based Sentiment Classification” by Gianni Brauwers and Flavius Frasincar, ACM Computing Surveys, 2022.

WISE 2022 @ Biarritz

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Previous WISE Editions
  • WISE 2021, Melbourne, Australia, October 26-29, 2021
  • WISE 2020, Amsterdam and Leiden, The Netherlands, October 20-22, 2020
  • WISE 2019, Hong Kong, China, January 19-21, 2020
  • WISE 2018, Dubai, UAE, November 12-15, 2018
  • WISE 2017, Puschino, Russia, October 7-11, 2017
  • WISE 2016, Shanghai, China, November 8-10, 2016
  • WISE 2015, Miami, FL, USA, November 1-3, 2015
  • WISE 2014, Thessaloniki, Greece, October 12-14, 2014
  • WISE 2013, Nanjing, China, October 13-15, 2013
  • WISE 2012, Paphos, Cyprus, November 28-30, 2012
  • WISE 2011, Sydney, Australia, October 13-14, 2011
  • WISE 2010, Hong Kong, China, December 12-14, 2010
  • WISE 2009, Poznan, Poland, October 5-7, 2009
  • WISE 2008, Auckland, New Zealand, September 1-4, 2008
  • WISE 2007, Nancy, France, December 3-7, 2007
  • WISE 2006, Wuhan, China, October 23-26, 2006
  • WISE 2005, New York, NY, USA, November 20-22, 2005
  • WISE 2004, Brisbane, Australia, November 22-24, 2004
  • WISE 2003, Rome, Italy, December 10-13, 2003
  • WISE 2002, Singapore, December 11-14, 2002
  • WISE 2001, Kyoto, Japan, 3-6 December 2001
  • WISE 2000, Hong Kong, China, June 19-21, 2000

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