Year: 2016
Type: conference-paper
Abstract: We introduce our methodology for collecting tweets and identifying event-related actionable information using key terms and inflections.The vast amount of user-generated content makes it challenging to detect relevant information.Therefore, we aim to facilitate extracting morphological, syntactic, and semantic features of a key term semiautomatically.The results of our study show that handling the inflections of key terms separately has its advantages: in the disaster scenario that we are investigating we are successful in discovering relevant and irrelevant information effectively.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2577887779