Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks-Reference-Cited by-同舟云学术

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Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks

Published:2020-06-29 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Onan Aytuğ¹^ORCID

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering and Architecture İzmir Katip Çelebi University İzmir Turkey

Funder

İzmir Katip Çelebi University, Scientific Research Projects Coordination

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5909

Reference39 articles.

1. A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification

2. An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit

3. Sentiment analysis: Bayesian Ensemble Learning

4. Sentiment analysis algorithms and applications: A survey

5. OnanA. Deep learning based sentiment analysis on product reviews on Twitter. Paper presented at: Proceedings of International Conference on Big Data Innovations and Applications; August ;2019:80‐91; Springer: Berlin.

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