Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Research on modeling time series text corpora has typically focused on predicting what text will come next, but less ll studied is predicting when the next text event will occur.   address the latter case, framed as modeling continuous inter-arrival times under a logGaussian Cox process, a form of inhomogeneous Poisson process which captures the varying rate at which the tets arrive over time. In an application to rumour modeling of tets surrounding the 2014 Ferguson riots,  show how interarrival times beten tets can be accurately predicted, and that incorporating textual features further improves predictions.
['Michal Lukasik', 'P. K. Srijith', 'Trevor Cohn', 'Kalina Bontcheva']
I am writing a research paper on a idea Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
[{"from": "human", "value": "I am writing a research paper on a idea Modeling Tweet Arrival Times using Log-Gaussian Cox Processes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Research on modeling time series text corpora has typically focused on predicting what text will come next, but less ll studied is predicting when the next text event will occur.   address the latter case, framed as modeling continuous inter-arrival times under a logGaussian Cox process, a form of inhomogeneous Poisson process which captures the varying rate at which the tets arrive over time. In an application to rumour modeling of tets surrounding the 2014 Ferguson riots,  show how interarrival times beten tets can be accurately predicted, and that incorporating textual features further improves predictions."}]