From web crawled text to project descriptions: automatic summarizing of social innovation projects

Nikola Milošević, Dimitar Marinov, Abdullah Gök, Goran Nenadić

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social innovation is an important source of information that can expand collaboration between social innovators, drive policy and serve as an important resource for research. Such a database needs to have projects described and summarized. In this paper, we propose and compare several methods (e.g. SVM-based, recurrent neural network based, ensambled) for describing projects based on the text that is available on project websites. We also address and propose a new metric for automated evaluation of summaries based on topic modelling.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems
Subtitle of host publication24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings
EditorsElisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraee
Place of PublicationCham, Switzerland
PublisherSpringer
Pages157-169
Number of pages13
ISBN (Print)9783030232801
DOIs
Publication statusPublished - 21 Jun 2019
Event24th International Conference on Application of Natural Language to Information Systems, NLDB 2019 - Salford, United Kingdom
Duration: 26 Jun 201928 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11608 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Application of Natural Language to Information Systems, NLDB 2019
CountryUnited Kingdom
CitySalford
Period26/06/1928/06/19

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Keywords

  • evaluation metrics
  • natural language processing
  • neural networks
  • social innovation
  • summarization
  • SVM
  • text mining

Cite this

Milošević, N., Marinov, D., Gök, A., & Nenadić, G. (2019). From web crawled text to project descriptions: automatic summarizing of social innovation projects. In E. Métais, F. Meziane, S. Vadera, V. Sugumaran, & M. Saraee (Eds.), Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings (pp. 157-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11608 LNCS). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-23281-8_13