research-article

Retracted on October 28, 2024: Emotion analysis method based on domain dictionary and machine learning

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EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

Pages 1687 - 1690

https://doi.org/10.1145/3501409.3501569

Published: 31 December 2021 Publication History

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Editorial Notes

NOTICE OF RETRACTION: The authors have requested their paper be retracted from the ACM Digital Library because of errors undermining the conclusions and the authors' inability to replicate their results. In addition, the paper was missing references to third-party material used therein, and citations 5, 6, and 7 were ordered incorrectly. In Figure 4, the parameter setting is wrong, and the figure lacks a key component, namely speech weight adjustment and cutting, which leads to the error in the experiment's conclusion.

ACM retracted this Work from the ACM Digital Library on October 28, 2024. As of this date, this Work should no longer be cited in the literature and the authors were advised to omit this Work from their official list of publications.

DOI: https://dl.acm.org/doi/10.1145/3501409.3501569

For additional information, contact the ACM Director of Publications.

Abstract

With the continuous generation of interactive data on the Internet, the value behind these data needs to be tapped. By constructing a scoring system based on domain dictionary and using machine learning model, the emotional information behind specific domain data can be effectively tapped, thus providing reference value for enterprise decision-making and other social activities.

Index Terms

Retracted on October 28, 2024: Emotion analysis method based on domain dictionary and machine learning
1. Social and professional topics
  1. User characteristics
    1. Cultural characteristics

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Published In

EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

October 2021

1723 pages

ISBN:9781450384322

DOI:10.1145/3501409

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 December 2021

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EITCE 2021

EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering

October 22 - 24, 2021

Xiamen, China

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EITCE '21 Paper Acceptance Rate 294 of 531 submissions, 55%;

Overall Acceptance Rate 508 of 972 submissions, 52%

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Index Terms

Recommendations

Analysis of Convolutional Neural Network for Lifelong Learning on Indonesian Sentiment Analysis

Machine Learning: The State of the Art

Current State of Text Sentiment Analysis from Opinion to Emotion Mining