Predicting Word Importance Using a Support Vector Regression Model for Multi-document Text Summarization

Author:

Chatterjee Soma,Sarkar Kamal

Publisher

Springer Nature Singapore

Reference25 articles.

1. Sarkar K (2009a) Sentence clustering-based summarization of multiple text documents. Int J Comput Sci Commun Tech 2(1):225–235

2. Bhaskar P, Banerjee S, Bandyopadhyay S (2013) Tweet contextualization (answering tweet question)-the role of multi-document summarization. In: CLEF (Working Notes)

3. Gupta VK, Siddiqui TJ (2012) Multi-document summarization using sentence clustering. In: 4th international conference on intelligent human computer interaction (IHCI), IHCI 2012, pp 1–5, Kharagpur. https://doi.org/10.1109/IHCI.2012.6481826

4. Sarkar K (2014) A Key phrase-based approach to text summarization for english and bengali documents. Int J Technol Diffus 5(2):28–38. https://doi.org/10.4018/ijtd.2014040103

5. Sarkar K (2009) Using domain knowledge for text summarization in the medical domain. Int J Recent Trends Eng 1(1):200–205

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