Which neural network to choose for classification from text/speech?












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I am considering two tasks:




  • Dialog Act Classification from Text (e.g. classify to: question; opinion; ...)

  • Emotion Recognition from Speech (e.g. happy; calm; sad; ...)


Which DL model should perform better for such tasks? I am planning to use CNN which should work for both of them, however not sure how well. Can I apply LSTM or some other methods? I used Keras before.



Is it good to apply attention mechanism or some other approaches for these 2 tasks?









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    0












    $begingroup$


    I am considering two tasks:




    • Dialog Act Classification from Text (e.g. classify to: question; opinion; ...)

    • Emotion Recognition from Speech (e.g. happy; calm; sad; ...)


    Which DL model should perform better for such tasks? I am planning to use CNN which should work for both of them, however not sure how well. Can I apply LSTM or some other methods? I used Keras before.



    Is it good to apply attention mechanism or some other approaches for these 2 tasks?









    share







    New contributor




    G.H. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0





      $begingroup$


      I am considering two tasks:




      • Dialog Act Classification from Text (e.g. classify to: question; opinion; ...)

      • Emotion Recognition from Speech (e.g. happy; calm; sad; ...)


      Which DL model should perform better for such tasks? I am planning to use CNN which should work for both of them, however not sure how well. Can I apply LSTM or some other methods? I used Keras before.



      Is it good to apply attention mechanism or some other approaches for these 2 tasks?









      share







      New contributor




      G.H. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am considering two tasks:




      • Dialog Act Classification from Text (e.g. classify to: question; opinion; ...)

      • Emotion Recognition from Speech (e.g. happy; calm; sad; ...)


      Which DL model should perform better for such tasks? I am planning to use CNN which should work for both of them, however not sure how well. Can I apply LSTM or some other methods? I used Keras before.



      Is it good to apply attention mechanism or some other approaches for these 2 tasks?







      neural-network deep-learning lstm cnn natural-language-process





      share







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      G.H. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      G.H. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






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      G.H. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 7 mins ago









      G.H.G.H.

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