Back close

AMRITA – CEN@NEEL : Identification and linking of twitter entities

Publication Type : Conference Paper

Publisher : CEUR Workshop Proceedings

Source : CEUR Workshop Proceedings, CEUR-WS, Volume 1395, Florence; Italy, p.64-65 (2015)

Url :

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication

Year : 2015

Abstract : A short text gets updated every now and then. With the global upswing of such micro posts, the need to retrieve information from them also seems to be incumbent. This work focuses on the knowledge extraction from the micro posts by having entity as evidence. Here the extracted entities are then linked to their relevant DBpedia source by featurization, Part Of Speech (POS) tagging, Named Entity Recognition (NER) and Word Sense Disambiguation (WSD). This short paper encompasses its contribution to #Micropost2015 - NEEL task by experimenting existing Machine Learning (ML) algorithms. Copyright © 2015 held by author(s

Cite this Research Publication : H. B. Barathi Ganesh, Abinaya, N., Dr. M. Anand Kumar, Vinayakumar, R., and Dr. Soman K. P., “AMRITA - CEN@NEEL : Identification and linking of twitter entities”, in CEUR Workshop Proceedings, Florence; Italy, 2015, vol. 1395, pp. 64-65.

Admissions Apply Now