Lexicon‐pointed hybrid N‐gram Features Extraction Model ( LeNFEM ) for sentence level sentiment analysis-Reference-Cited by-同舟云学术

Lexicon‐pointed hybrid N‐gram Features Extraction Model ( LeNFEM ) for sentence level sentiment analysis

Published:2021-02-07 Issue: Volume: Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Mutinda James¹^ORCID,Mwangi Waweru²,Okeyo George³

Affiliation:

1. Department of Information and Communication Technology Kenya School of Government Embu Campus Embu Kenya

2. School of Computing and Information Technology Jomo Kenyatta University of Agriculture & Technology Nairobi Kenya

3. School of Computer Science and Informatics De Montfort University Leicester UK

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12374

Reference36 articles.

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2. A Discriminative Approach to Sentiment Classification

3. MingyongL YangJ.An improvement of TFIDF weighting in text categorization. Paper presented at: 2012 International Conference on Computer Technology and Science (ICCTS 2012) IPCSIT vol. 47; 2012; Singapore: IACSIT Press.

4. An overview on research challenges in opinion mining and sentiment analysis;Kalarani P;Int J Innov Res Comput Commun Eng,2015

5. The Role of Text Pre-processing in Sentiment Analysis

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