Recommendation of Electronic Mobile Gadgets Using Infused Decision Score With Mobile Radiation and Federated Sentiment Score-Reference-Cited by-同舟云学术

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Recommendation of Electronic Mobile Gadgets Using Infused Decision Score With Mobile Radiation and Federated Sentiment Score

Published:2024-02 Issue:1 Volume:70 Page:2566-2576
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Kanapala Ambedkar¹,Dara Suresh²^ORCID,Sreedhar Jinka³,Vidyarthi Ankit⁴^ORCID,Gupta Deepak⁵,Gupta Punit⁶^ORCID

Affiliation:

1. Department of CSE, Geethanjali College of Engineering and Technology, Hyderabad, India

2. School of Computer Science and Engineering, VIT-AP University, Amaravati, India

3. Department of CSE, Keshav Memorial Institute of Technology, Hyderabad, India

4. Department of CSE and IT, Jaypee Institute of Information Technology, Noida, India

5. Department of CSE, Maharaja Agrasen Institute of Technology, New Delhi, India

6. School of Computer Science, University College Dublin, Dublin 4, Ireland

Funder

University College Dublin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10382180.pdf?arnumber=10382180

Reference20 articles.

1. Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification

2. A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews

3. A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making

4. Sentiment Analysis of Mobile Phone Products Reviews Using Classification Algorithms

5. Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews

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