Using the Doc2Vec Algorithm to Detect Semantically Similar Jira Issues in the Process of Resolving Customer Requests

Artem Kovalev, Nikita Voinov, Igor Nikiforov. Using the Doc2Vec Algorithm to Detect Semantically Similar Jira Issues in the Process of Resolving Customer Requests. In Igor V. Kotenko, Costin Badica, Vasily Desnitsky, Didier El Baz, Mirjana Ivanovic, editors, Intelligent Distributed Computing XIII, 13th International Symposium on Intelligent Distributed Computing, IDC 2019, St. Petersburg, Russia, 7-9 October, 2019. Volume 868 of Studies in Computational Intelligence, pages 96-101, Springer, 2019. [doi]

@inproceedings{KovalevVN19,
  title = {Using the Doc2Vec Algorithm to Detect Semantically Similar Jira Issues in the Process of Resolving Customer Requests},
  author = {Artem Kovalev and Nikita Voinov and Igor Nikiforov},
  year = {2019},
  doi = {10.1007/978-3-030-32258-8_11},
  url = {https://doi.org/10.1007/978-3-030-32258-8_11},
  researchr = {https://researchr.org/publication/KovalevVN19},
  cites = {0},
  citedby = {0},
  pages = {96-101},
  booktitle = {Intelligent Distributed Computing XIII, 13th International Symposium on Intelligent Distributed Computing, IDC 2019, St. Petersburg, Russia, 7-9 October, 2019},
  editor = {Igor V. Kotenko and Costin Badica and Vasily Desnitsky and Didier El Baz and Mirjana Ivanovic},
  volume = {868},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-030-32258-8},
}