A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter
[chapter]
2014
Lecture Notes in Computer Science
The velocity, volume and variety with which Twitter generates text is increasing exponentially. It is critical to determine latent sub-topics from such tweet data at any given point of time for providing better topic-wise search results relevant to users' informational needs. The two main challenges in mining subtopics from tweets in real-time are (1) understanding the semantic and the conceptual representation of the tweets, and (2) the ability to determine when a new sub-topic (or cluster)
doi:10.1007/978-3-319-06028-6_52
fatcat:kunpacwinbg4jaerwzkyif72h4