Hot topic detection and technology trend tracking for patents utilizing term frequency and proportional document frequency and semantic information

Khanh-Ly Nguyen, Byung-Joo Shin, Seong-Joon Yoo. Hot topic detection and technology trend tracking for patents utilizing term frequency and proportional document frequency and semantic information. In 2016 International Conference on Big Data and Smart Computing, BigComp 2016, Hong Kong, China, January 18-20, 2016. pages 223-230, IEEE Computer Society, 2016. [doi]

@inproceedings{NguyenSY16,
  title = {Hot topic detection and technology trend tracking for patents utilizing term frequency and proportional document frequency and semantic information},
  author = {Khanh-Ly Nguyen and Byung-Joo Shin and Seong-Joon Yoo},
  year = {2016},
  doi = {10.1109/BIGCOMP.2016.7425917},
  url = {http://doi.ieeecomputersociety.org/10.1109/BIGCOMP.2016.7425917},
  researchr = {https://researchr.org/publication/NguyenSY16},
  cites = {0},
  citedby = {0},
  pages = {223-230},
  booktitle = {2016 International Conference on Big Data and Smart Computing, BigComp 2016, Hong Kong, China, January 18-20, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-4673-8796-5},
}