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Relation Extraction for Competitive Intelligence

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Computational Processing of the Portuguese Language (PROPOR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12037))

Abstract

Competitive intelligence (CI) has become one of the major subjects for strategic process in an organization in the recent years. CI gives support to the strategic business area and works as a sensor, showing managers how to position their organization as competitive in the market. In this paper, we show how Relation Extraction supports CI to collect and organize external information from unstructured data collected from newspaper, blogs, magazines and informational portals.

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Notes

  1. 1.

    https://iberlef.sepln.org/.

  2. 2.

    https://www.nltk.org.

  3. 3.

    http://ccsl.ime.usp.br/cogroo/.

  4. 4.

    https://www.ardoq.com.

  5. 5.

    GitHub: https://github.com/relpplus/versions/RelpPlus_1_0_0.

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Author information

Authors and Affiliations

  1. Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil

    Sandra Collovini, Guilherme Cavalheiro, Joaquim Santos & Renata Vieira

  2. Cooperativa de Crédito Sicredi, Av. Assis Brasil, Porto Alegre, RS, 3940, Brazil

    Patricia Nunes Gonçalves

  3. Universidade de Évora, Evora, Portugal

    Renata Vieira

Authors
  1. Sandra Collovini
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  2. Patricia Nunes Gonçalves
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  3. Guilherme Cavalheiro
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  4. Joaquim Santos
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  5. Renata Vieira
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Corresponding author

Correspondence to Sandra Collovini .

Editor information

Editors and Affiliations

  1. University of Évora, Evora, Portugal

    Paulo Quaresma

  2. University of Évora, Evora, Portugal

    Renata Vieira

  3. University of São Paulo, São Carlos, Brazil

    Sandra Aluísio

  4. University of Lisbon, Lisbon, Portugal

    Helena Moniz

  5. INESC-ID/ISCTE-IUL, Lisbon, Portugal

    Fernando Batista

  6. University of Évora, Evora, Portugal

    Teresa Gonçalves

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Collovini, S., Gonçalves, P.N., Cavalheiro, G., Santos, J., Vieira, R. (2020). Relation Extraction for Competitive Intelligence. In: Quaresma, P., Vieira, R., Aluísio, S., Moniz, H., Batista, F., Gonçalves, T. (eds) Computational Processing of the Portuguese Language. PROPOR 2020. Lecture Notes in Computer Science(), vol 12037. Springer, Cham. https://doi.org/10.1007/978-3-030-41505-1_24

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  • DOI: https://doi.org/10.1007/978-3-030-41505-1_24

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  • Online ISBN: 978-3-030-41505-1

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