Modified weighting method in TF∗IDF algorithm for extracting user topic based on email and social media in Integrated Digital Assistant

@article{Pramono2013ModifiedWM,
  title={Modified weighting method in TF∗IDF algorithm for extracting user topic based on email and social media in Integrated Digital Assistant},
  author={Luthfan Hadi Pramono and A. Rohman and Dan Hilwadi Hindersah},
  journal={2013 Joint International Conference on Rural Information \& Communication Technology and Electric-Vehicle Technology (rICT \& ICeV-T)},
  year={2013},
  pages={1-6}
}
Integrated Digital Assistant (IDA) is a system designed to be a "personal secretary" who worked in full for the user. [...] Key Method Searching and extracting user interest or topics in social media and email data of IDA is using TF*IDF weighting modification algorithm named TF*IDF*DF which is extend of TF*IDF method. Expected with TF*IDF weighting modification algorithm, topics that obtained more representative and in accordance with the information needed by the user. From extraction by using TF*IDF*DF, the…Expand
A Proposed Framework for Essay Answer Processing based on Computational

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