Semantic Web-Based Social Media Analysis-Reference-Cited by-同舟云学术

Semantic Web-Based Social Media Analysis

Published:2016 Issue: Volume: Page:147-166
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Cotfas Liviu-Adrian,Delcea Camelia,Segault Antonin,Roxin Ioan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-49619-0_8

Reference37 articles.

1. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of the Seventh International Conference on Language Resources and Evaluation, Valletta, pp. 1320–1326 (2010)

2. Lecture Notes in Computer Science;C Delcea,2015

3. Kontopoulos, E., Berberidis, C., Dergiades, T., Bassiliades, N.: Ontology-based sentiment analysis of Twitter posts. Expert Syst. Appl. 40, 4065–4074 (2013)

4. Lecture Notes in Computer Science;C Delcea,2014

5. Lecture Notes in Computer Science;C Delcea,2014

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