Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of detecting events from content published on microblogs has garnered much interest in recent times. ,  address the questions of what happens after the outbreak of an event in terms of how the event gradually progresses and attains each of its milestones, and how it eventually dissipates.  propose a model based approach to capture the gradual unfolding of an event over time. This enables the model to automatically produce entire timeline trajectories of events from the time of their outbreak to their disappearance.  apply our model on the Twitter messages collected about Ebola during the 2014 outbreak and obtain the progression timelines of several events that occurred during the outbreak.  also compare our model to several existing topic modeling and event detection baselines in literature to demonstrate its efficiency.
['Janani Kalyanam', 'Sumithra Velupillai', 'Mike Conway', 'Gert R. G. Lanckriet']
I am writing a research paper on a idea From event detection to storytelling on microblogs
[{"from": "human", "value": "I am writing a research paper on a idea From event detection to storytelling on microblogs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of detecting events from content published on microblogs has garnered much interest in recent times. ,  address the questions of what happens after the outbreak of an event in terms of how the event gradually progresses and attains each of its milestones, and how it eventually dissipates.  propose a model based approach to capture the gradual unfolding of an event over time. This enables the model to automatically produce entire timeline trajectories of events from the time of their outbreak to their disappearance.  apply our model on the Twitter messages collected about Ebola during the 2014 outbreak and obtain the progression timelines of several events that occurred during the outbreak.  also compare our model to several existing topic modeling and event detection baselines in literature to demonstrate its efficiency."}]