Papers on anger detection in dialogues












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I am interested in anger detection in dialogues and I want to study multiple methods like LSTM, CNN, etc. Are there any good research papers or books about this subject?










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    $begingroup$


    I am interested in anger detection in dialogues and I want to study multiple methods like LSTM, CNN, etc. Are there any good research papers or books about this subject?










    share|improve this question









    $endgroup$















      2












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      2


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      $begingroup$


      I am interested in anger detection in dialogues and I want to study multiple methods like LSTM, CNN, etc. Are there any good research papers or books about this subject?










      share|improve this question









      $endgroup$




      I am interested in anger detection in dialogues and I want to study multiple methods like LSTM, CNN, etc. Are there any good research papers or books about this subject?







      nlp lstm cnn






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      asked yesterday









      AdelaMAdelaM

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          DeepMoji is a fun project that came out of MIT, which predicts emojis that are most related to an input sentence. Gimmicks aside, it seems perfectly adequate for your task of anger detection.




          • Paper: https://arxiv.org/abs/1708.00524

          • Blog post: https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0

          • Pretrained models: PyTorch or Keras.






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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2












            $begingroup$

            DeepMoji is a fun project that came out of MIT, which predicts emojis that are most related to an input sentence. Gimmicks aside, it seems perfectly adequate for your task of anger detection.




            • Paper: https://arxiv.org/abs/1708.00524

            • Blog post: https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0

            • Pretrained models: PyTorch or Keras.






            share|improve this answer









            $endgroup$


















              2












              $begingroup$

              DeepMoji is a fun project that came out of MIT, which predicts emojis that are most related to an input sentence. Gimmicks aside, it seems perfectly adequate for your task of anger detection.




              • Paper: https://arxiv.org/abs/1708.00524

              • Blog post: https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0

              • Pretrained models: PyTorch or Keras.






              share|improve this answer









              $endgroup$
















                2












                2








                2





                $begingroup$

                DeepMoji is a fun project that came out of MIT, which predicts emojis that are most related to an input sentence. Gimmicks aside, it seems perfectly adequate for your task of anger detection.




                • Paper: https://arxiv.org/abs/1708.00524

                • Blog post: https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0

                • Pretrained models: PyTorch or Keras.






                share|improve this answer









                $endgroup$



                DeepMoji is a fun project that came out of MIT, which predicts emojis that are most related to an input sentence. Gimmicks aside, it seems perfectly adequate for your task of anger detection.




                • Paper: https://arxiv.org/abs/1708.00524

                • Blog post: https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0

                • Pretrained models: PyTorch or Keras.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered yesterday









                timleatharttimleathart

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