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The Neural Network (CNN) has recently been used for text classification and has demonstrated to be fairly successful.\n# Parameters:\n Loss : poission,\n Optimizer : Adam,\n Activation functions : Sigmoid,\n Metrics: msle\n Output Layer: 6.\n# Outcome: \nThe validation process consisted of several phases that probed the parameter training methods described above. In this section, we specify the results of each phase. In order to assess the quality of the prediction, we used several figures of merit. In this study, the performance keras model tested good. With the default configuration, loss (1.0176) whereas, obtained accuracy (0.5482).\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshakilgithub20%2Fclassifying_textual_emotions","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshakilgithub20%2Fclassifying_textual_emotions","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshakilgithub20%2Fclassifying_textual_emotions/lists"}