Corpus ID: 1452658

Short Text Classification on Complaint Documents

@article{Hayati2016ShortTC,
  title={Short Text Classification on Complaint Documents},
  author={Shirley Anugrah Hayati and A. F. Wicaksono and M. Adriani},
  journal={Int. J. Comput. Linguistics Appl.},
  year={2016},
  volume={7},
  pages={129-143}
}
Indonesian government has developed a system for citizens to voice their aspirations and complaints, which are then stored in the form of short documents. Unfortunately, the existing system employs human annotators to manually categorize the short documents, which is very expensive and time-consuming. As a result, automatically classifying the short documents into their correct topics will reduce manual works and obviously increase the efficiency of the task itself. In this paper, we propose… Expand

References

SHOWING 1-10 OF 17 REFERENCES
Short text classification based on strong feature thesaurus
Transductive LSI for Short Text Classification Problems
Automatic multilabel categorization using learning to rank framework for complaint text on Bandung government
  • Ahmad Fauzan, M. L. Khodra
  • Computer Science
  • 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)
  • 2014
The use of bigrams to enhance text categorization
Using Bigrams in Text Categorization
Machine learning in automated text categorization
Indonesian Twitter text authority classification for government in Bandung
  • Janice Laksana, A. Purwarianti
  • Computer Science
  • 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)
  • 2014
Concept-based Short Text Classification and Ranking
...
1
2
...