Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features

Ayutthaya, Thititorn Seneewong Na; Pasupa, Kitsuchart

doi:10.1109/iSAI-NLP.2018.8692836

by Thititorn Seneewong Na Ayutthaya, Kitsuchart Pasupa

Reference:

Thititorn Seneewong Na Ayutthaya, Kitsuchart Pasupa, "Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features", In Proceedings of the 13th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2018), 15-17 November 2018, Pattaya, Thailand, IEEE, pp. 84-89, 2018.

Bibtex Entry:

@InProceedings{SeneewongPasupa:2018,
  author    = {Thititorn {Seneewong Na Ayutthaya} and Kitsuchart Pasupa},
  booktitle = {Proceedings of the 13th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2018), 15-17 November 2018, Pattaya, Thailand},
  title     = {Thai Sentiment Analysis via Bidirectional {LSTM}-{CNN} Model with Embedding Vectors and Sentic Features},
  year      = {2018},
  pages     = {84--89},
  publisher = {{IEEE}},
  doi       = {10.1109/iSAI-NLP.2018.8692836},
  url       = {https://saki.siit.tu.ac.th/isai-nlp2018/uploads_final/69__b71f41e4b07efe3f36aa77ecb07f6538/PID5610239.pdf},
}