Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Computational method of rhetorical analysis for textual data using graphs

2016/21/N/ST6/02366

Keywords:

rhetorical analysis sentiment analysis text mining aspect-based sentiment analysis machine learning

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_10: Web and information systems, database systems, internet technologies, including information retrieval and digital libraries
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Lukasz Augustyniak 

Number of co-investigators in the project: 2

Call: PRELUDIUM 11 - announced on 2016-03-15

Amount awarded: 81 400 PLN

Project start date (Y-m-d): 2017-01-18

Project end date (Y-m-d): 2020-10-17

Project duration:: 45 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Sprzęt komputerowy (7 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (4)
  1. Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings
    Authors:
    Augustyniak Ł., Kajdanowicz T., Kazienko P
    Academic press:
    Computer Speech & Language (rok: 2020, ), Wydawca: Elsiever
    Status:
    Accepted for publication
    DOI:
    brak - link to the publication
  2. Graph-based approach to Unsupervised Aspect Hierarchies Extraction and Sentimental Summarization
    Authors:
    Augustyniak Ł., Kajdanowicz T., Kazienko P
    Academic press:
    Natural Language Engineering , Wydawca: Cambridge University Press
    Status:
    Submitted
    DOI:
    brak - link to the publication
  1. Political Advertising Dataset:the use case of the Polish 2020 Presidential Elections
    Authors:
    Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz, Michał Bernaczyk
    Conference:
    European Chapter of the Association for Computational Linguistics (rok: 2021, ), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 21.04-23.04
    Status:
    Submitted
  2. Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF
    Authors:
    Augustyniak Ł., Kajdanowicz T., Kazienko P
    Conference:
    ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (IEEE AIKE 2019) (rok: 2019, ), Wydawca: .
    Data:
    konferencja 43619
    Status:
    Published
  3. Extracting Aspects Hierarchies using Rhetorical Structure Theory
    Authors:
    Augustyniak Ł., Kajdanowicz T., Kazienko P
    Conference:
    Conference on Algorithms, Computing and Artificial Intelligence (rok: 2018, ), Wydawca: ACM New York, NY, USA ©2018
    Data:
    konferencja 21-23.12.2018
    Status:
    Published
  4. Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections
    Authors:
    Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz, Michał Bernaczyk
    Conference:
    Annual Meeting of the Association for Computational Linguistics (rok: 2020, ), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 5.07-10.07
    Status:
    Published

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