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Bangla News Summarization

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Computational Collective Intelligence (ICCCI 2017)

Abstract

Document similarity calculation and summarization is a challenging task. Not many works have been done in this field for Bangla Language. Similarity calculation and summarization is more challenging for Bangla Language as Bangla grammar works differently than that of English. This paper proposes a way to calculate similarity between Bangla news and apply summarization on Bangla news documents taken from popular news portals by applying various data mining techniques as accurately as possible.

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References

  1. Uddin, M.N., Khan, S.A.: A study on text summarization techniques and implement few of them for Bangla language. In: 2007 10th International Conference on Computer and Information Technology (2007). doi:10.1109/ICCITECHN.2007.4579374

  2. Saharia, N., Sharma, U., Kalita, J.: Stemming resource-poor Indian languages. ACM Trans. Asian Lang. Inf. Process. 13(3), 1–26 (2014)

    Article  Google Scholar 

  3. Urmi, T.T., Jammy, J.J., Ismail, S.: A corpus based unsupervised Bangla word stemming using N-gram language model. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) (2016). doi:10.1109/ICIEV.2016.7760117

  4. Dave, H., Jaswal, S.: Multiple text document summarization system using hybrid summarization technique. In: 2015 1st International Conference on Next Generation Computing Technologies (NGCT) (2015). doi:10.1109/NGCT.2015.7375231

  5. Baralis, E., Cagliero, L., Cerquitelli, T.: Supporting stock trading in multiple foreign markets. In: Proceedings of 2nd International Workshop on Data Science for Macro-Modeling – DSMM 2016 (2016). doi:10.1145/2951894.2951897

  6. Dsouza, K.J., Ansari, Z.A.: A novel data mining approach for multi variant text classification. In: 2015 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) (2015)

    Google Scholar 

  7. Bangla Word List [PDF] West Bengal Bangla Academy, Kolkata (n.d.)

    Google Scholar 

  8. List of Regular Expressions - Libreoffice Help. Help.libreoffice.org. N.p. (2017). Web: 5 May 2017

  9. Tan, P., Steinbach, M., Kumar, V.: Introduction to Data Mining. Dorling Kindersley, Pearson, ‎London (2015)

    Google Scholar 

  10. “আকস্মিক দেশের পথে মাশরাফি । খেলাধুলা । The Daily Ittefaq” Ittefaq.com.bd. N.p. (2017). Web: 3 May 2017

  11. Ferreira, R., et al.: Assessing sentence scoring techniques for extractive text summarization. Expert Syst. Appl. 40(14), 5755–5764 (2013)

    Article  Google Scholar 

  12. Ramos, J.: Using TF-IDF to determine word relevance in document queries. Technical report, Department of Computer Science, Rutgers University (2003)

    Google Scholar 

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Correspondence to Rashedur M. Rahman .

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Paul, A. et al. (2017). Bangla News Summarization. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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