TU Darmstadt / ULB / TUbiblio

An Iterative Approach for Citation Sentiment Analysis and Scholar Evaluation

Ma, Zheng (2016):
An Iterative Approach for Citation Sentiment Analysis and Scholar Evaluation.
In: Proceedings of 12th International Conference on Webometrics, Informetrics and Scientometrics &17th COLLNET Meeting, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[Conference or Workshop Item]

Abstract

Citation based metrics has been widely used to measure the impact of publications, journals and scholars. In this paper, we propose an iterative machine learning approach to improve the performance citation sentiment classification and the scholar modelling. This approach is based on the p-index, which is an extension of h-index, proposed by Ma et al. (2016).

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Ma, Zheng
Title: An Iterative Approach for Citation Sentiment Analysis and Scholar Evaluation
Language: English
Abstract:

Citation based metrics has been widely used to measure the impact of publications, journals and scholars. In this paper, we propose an iterative machine learning approach to improve the performance citation sentiment classification and the scholar modelling. This approach is based on the p-index, which is an extension of h-index, proposed by Ma et al. (2016).

Title of Book: Proceedings of 12th International Conference on Webometrics, Informetrics and Scientometrics &17th COLLNET Meeting
Uncontrolled Keywords: Knowledge Discovery in Scientific Literature;Iterative machine learning approach, Sentiment analysis, Citation network, Author level metrics, P-index
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Date Deposited: 30 Dec 2016 17:45
Official URL: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...
Identification Number: TUD-CS-2016-14662
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item