Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many social media platforms offer a mechanism for readers to react to comments, both positively and negatively, which in aggregate can be thought of as community endorsement.  addresses the problem of predicting community endorsement in online discussions, leveraging both the participant response structure and the text of the comment. The different types of features are integrated in a neural network that uses a novel architecture to learn latent modes of discussion structure that perform as ll as deep neural networks but are more interpretable. In addition, the latent modes can be used to ight text features thereby improving prediction accuracy.
['Hao Fang', 'Hao Cheng', 'Mari Ostendorf']
I am writing a research paper on a idea Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions
[{"from": "human", "value": "I am writing a research paper on a idea Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many social media platforms offer a mechanism for readers to react to comments, both positively and negatively, which in aggregate can be thought of as community endorsement.  addresses the problem of predicting community endorsement in online discussions, leveraging both the participant response structure and the text of the comment. The different types of features are integrated in a neural network that uses a novel architecture to learn latent modes of discussion structure that perform as ll as deep neural networks but are more interpretable. In addition, the latent modes can be used to ight text features thereby improving prediction accuracy."}]