Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ubiquitous user-input contents on social media and online services have generated a tremendous amount of information. Such information has great potential applications in various areas such as events detection and text summarization. , a social media based traffic status monitoring system is established. The system is initiated by a transportation related keyword generation process. Then an association rules based iterative query expansion algorithm is applied to extract real time transportation related tets for incident management purpose.  also confirm the feasibility of summarizing the redundant tets to generate concise and comprehensible textual contents. Comparison results show that our query expansion method for tets extraction outperforms the previous ones. Analysis and case studies further demonstrate the practical usefulness of our tets summarization algorithm.
['Kaiqun Fu', 'Chang-Tien Lu', 'Rakesh Nune', 'Jason X Tao']
I am writing a research paper on a idea Steds: Social Media Based Transportation Event Detection with Text Summarization
[{"from": "human", "value": "I am writing a research paper on a idea Steds: Social Media Based Transportation Event Detection with Text Summarization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ubiquitous user-input contents on social media and online services have generated a tremendous amount of information. Such information has great potential applications in various areas such as events detection and text summarization. , a social media based traffic status monitoring system is established. The system is initiated by a transportation related keyword generation process. Then an association rules based iterative query expansion algorithm is applied to extract real time transportation related tets for incident management purpose.  also confirm the feasibility of summarizing the redundant tets to generate concise and comprehensible textual contents. Comparison results show that our query expansion method for tets extraction outperforms the previous ones. Analysis and case studies further demonstrate the practical usefulness of our tets summarization algorithm."}]