Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization

Swapnajit Chakraborti. Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization. In Roger L. Wainwright, Juan Manuel Corchado, Alessio Bechini, Jiman Hong, editors, Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain, April 13-17, 2015. pages 1110-1111, ACM, 2015. [doi]

@inproceedings{Chakraborti15,
  title = {Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization},
  author = {Swapnajit Chakraborti},
  year = {2015},
  doi = {10.1145/2695664.2696073},
  url = {http://doi.acm.org/10.1145/2695664.2696073},
  researchr = {https://researchr.org/publication/Chakraborti15},
  cites = {0},
  citedby = {0},
  pages = {1110-1111},
  booktitle = {Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain, April 13-17, 2015},
  editor = {Roger L. Wainwright and Juan Manuel Corchado and Alessio Bechini and Jiman Hong},
  publisher = {ACM},
  isbn = {978-1-4503-3196-8},
}