SentiLDA - An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data

Fan Liu, Ningning Wu. SentiLDA - An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data. In Sanjay Madria, Takahiro Hara, editors, Big Data Analytics and Knowledge Discovery - 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings. Volume 9829 of Lecture Notes in Computer Science, pages 82-96, Springer, 2016. [doi]

@inproceedings{LiuW16-22,
  title = {SentiLDA - An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data},
  author = {Fan Liu and Ningning Wu},
  year = {2016},
  doi = {10.1007/978-3-319-43946-4_6},
  url = {http://dx.doi.org/10.1007/978-3-319-43946-4_6},
  researchr = {https://researchr.org/publication/LiuW16-22},
  cites = {0},
  citedby = {0},
  pages = {82-96},
  booktitle = {Big Data Analytics and Knowledge Discovery - 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings},
  editor = {Sanjay Madria and Takahiro Hara},
  volume = {9829},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-43945-7},
}