Tweet Segmentation using Random Walk Algorithm |
Author(s): |
| Patil Umesh Anandrao , Ashokrao Mane Group of Institutions,Vathar.; Prof. Karveer B. Manwade, Ashokrao Mane Group of Institutions,Vathar. |
Keywords: |
| Tweet Stream, Tweet Segmentation, Novel-Named Entity Recognition, Wikipedia |
Abstract |
|
In this paper, we present a novel solution for tweet segmentation which is based on definition a named entity recognition system for targeted tweeter stream; it constructs a random walk model to exploit the gregarious property in the local context derived from the twitter stream. The highly-ranked segments have a higher chance of being true named entities. We propose novel-named entity recognition algorithm on two sets of real-life tweets simulating two targeted streams using labeled ground truth, it achieves comparable performance as with conventional approaches in both streams. Various settings of Novel-NER have also been examined to verify our global context plus local context combo idea. |
Other Details |
|
Paper ID: IJSRDV4I70411 Published in: Volume : 4, Issue : 7 Publication Date: 01/10/2016 Page(s): 610-613 |
Article Preview |
|
|
|
|
