Retraction Note: Emotional interpretation using chaotic cuckoo public sentiment variations on textual data from Twitter

被引：0

作者：

U. V. Anbazhagu

R. Anandan

机构：

[1] VELS Institute of Science,Department of Computer Science and Engineering

[2] Technology & Advanced Studies (VISTAS),undefined

来源：

International Journal of Speech Technology | 2022年 / 25卷 / Suppl 1期

关键词：

D O I：

10.1007/s10772-022-10006-9

中图分类号：

学科分类号：

摘要：

引用

页码：27 / 27

共 29 条

[1] RETRACTED ARTICLE: Emotional interpretation using chaotic cuckoo public sentiment variations on textual data from Twitter
U. V. Anbazhagu
R. Anandan
[J]. International Journal of Speech Technology, 2021, 24 : 281 - 290
[2] RETRACTED: Emotional interpretation using chaotic cuckoo public sentiment variations on textual data from Twitter (Retracted Article)
Anbazhagu, U. V.
Anandan, R.
[J]. INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2021, 24 (02) : 281 - 290
[3] Retraction Note: Classifying streaming of Twitter data based on sentiment analysis using hybridization
Senthil Murugan Nagarajan
Usha Devi Gandhi
[J]. Neural Computing and Applications, 2024, 36 (24) : 15195 - 15195
[4] Retraction Note to: Topic flexible aspect based sentiment analysis using minimum spanning tree with Cuckoo search
I. Mohan
M. Moorthi
[J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (Suppl 1) : 349 - 349
[5] ANALYZING COMPANY'S STOCK PRICE MOVEMENT USING PUBLIC SENTIMENT IN TWITTER DATA
Thirugnanam, Mythili
Patel, Smit
Vyas, Prakhar
Thirugnanam, Tamizharasi
[J]. IIOAB JOURNAL, 2016, 7 : 127 - 136
[6] A RNN Based Parallel Deep Learning Framework for Detecting Sentiment Polarity from Twitter Derived Textual Data
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Rahman, Md Latifur
Ali, Shams Nafisa
Alam, Md Jahin
[J]. PROCEEDINGS OF 2020 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE), 2020, : 9 - 12
[7] Monitoring Public Interest and Sentiment on Basic Income: Using Google and Twitter Data in the U.S.
Lee, Soomi
Park, Taeyong
[J]. BASIC INCOME STUDIES, 2024, 19 (01) : 31 - 49
[8] Sentiment analysis from textual data using multiple channels deep learning models
Adepu Rajesh
Tryambak Hiwarkar
[J]. Journal of Electrical Systems and Information Technology, 10 (1)
[9] Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization
Krawczyk, Bartosz
McInnes, Bridget T.
Cano, Alberto
[J]. HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017, 2017, 10334 : 26 - 37
[10] Exploring the public sentiment of local community on major infrastructure development: Evidence from media news and Twitter data
Khoirunurrofik, Khoirunurrofik
Endrina Dewi, Calista
Marwah Zulkarnain, Annisa
[J]. JOURNAL OF HUMAN BEHAVIOR IN THE SOCIAL ENVIRONMENT, 2023,

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