A Review of Recent Trends: Text Mining of Taxonomy Using WordNet 3.1 for the Solution and Problems of Ambiguity in Social Media-Reference-Cited by-同舟云学术

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A Review of Recent Trends: Text Mining of Taxonomy Using WordNet 3.1 for the Solution and Problems of Ambiguity in Social Media

Published:2020 Issue: Volume: Page:137-152
ISSN:2367-3370
Container-title:Intelligent Computing and Innovation on Data Science
language:
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Author:

Hasan Ali Muttaleb,Rassem Taha Hussein,Noor Noorhuzaimi Mohd,Hasan Ahmed Muttaleb

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-3284-9_15

Reference31 articles.

1. Al Ajeeli AT (2016) An intelligent framework for natural language stems processing. Glob J Comput Sci Technol

2. Zhang H et al (2014) Online social network profile linkage. In: Asia information retrieval symposium. Springer, Heidelberg

3. Chen X, Liu Z, Sun M (2014) A unified model for word sense representation and disambiguation. In: Proceedings of the 2014 conference on Empirical Methods in Natural Language Processing (EMNLP)

4. Lopez-Arevalo I et al (2017) Improving selection of synsets from WordNet for domain-specific word sense disambiguation. Comput Speech Lang 41:128–145

5. Beliga S, Meštrović A, Martinčić-Ipšić S (2015) An overview of graph-based keyword extraction methods and approaches. J Inf Organ Sci 39(1):1–20

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