Emotion classification of indonesian tweets using bidirectional lstm

HIGHLIGHTS

  • who: Aaron Glenn from the Department of Operational Sciences, Air Force Institute of Technology, Hobson Way, Wright-Patterson AFB, OH, USA have published the article: Emotion classification of Indonesian Tweets using Bidirectional LSTM, in the Journal: (JOURNAL)
  • what: Most of this research has been performed in the English-speaking world-leaving other languages relatively untouched and ready for discovery . This research examines the efficacy of recurrent neural_network (RNN) variants within a deep neural_network architecture, specifically long short-term memory (LSTM), bidirectional LSTM (BiLSTM), stacked BiLSTM and gated recurrent unit (GRU). The authors demonstrate that, all . . .

     

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