Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel (doi:10.34820/FK2/X7FPFW)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel

Identification Number:

doi:10.34820/FK2/X7FPFW

Distributor:

Telkom University Dataverse

Date of Distribution:

2024-09-24

Version:

1

Bibliographic Citation:

Pramesti, Dita; Fakhrurroja, Hanif, 2024, "Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel", https://doi.org/10.34820/FK2/X7FPFW, Telkom University Dataverse, V1, UNF:6:6iJAznzw+knPzH7cNpI2YQ== [fileUNF]

Study Description

Citation

Title:

Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel

Identification Number:

doi:10.34820/FK2/X7FPFW

Authoring Entity:

Pramesti, Dita (FRI - DEST)

Fakhrurroja, Hanif (FRI - DEST)

Distributor:

Telkom University Dataverse

Access Authority:

Pramesti, Dita

Depositor:

PRAMESTI, DITA

Date of Deposit:

2024-09-24

Study Scope

Keywords:

Computer and Information Science, sentiment analysis, deep learning, multilabel classification

Abstract:

This study evaluates the effectiveness of various deep learning architectures in multi-label sentiment classification of YouTube comments related to the 2024 Indonesian presidential election. The dataset includes comments from debate videos featuring candidates Anies Baswedan, Prabowo Subianto, and Ganjar Pranowo.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

A. N. Ma’Aly, D. Pramesti and H. Fakhrurroja, "Comparative Analysis of Deep Learning Models for Multi-label Sentiment Classification of 2024 Presidential Election Comments," 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), Semarang, Indonesia, 2024, pp. 502-507, doi: 10.1109/ICICoS62600.2024.10636889.

File Description--f18407

File: FINAL Praprocessing and Labelling Data.tab

  • Number of cases: 32014

  • No. of variables per record: 13

  • Type of File: text/tab-separated-values

Notes:

UNF:6:6iJAznzw+knPzH7cNpI2YQ==

Variable Description

List of Variables:

Variables

commentID

f18407 Location:

Summary Statistics: StDev 10496.948322452177; Mean 18267.003967012297; Min. 0.0; Valid 32014.0; Max. 36202.0;

Variable Format: numeric

Notes: UNF:6:hKC7+UW8N7RZNaIcBVt0Ng==

formaltext

f18407 Location:

Variable Format: character

Notes: UNF:6:zfZkpqPDqna+tSot2t/yfg==

anger

f18407 Location:

Summary Statistics: Max. 1.0; Mean 0.24042606359718202; Valid 32014.0; StDev 0.4273488927571521; Min. 0.0

Variable Format: numeric

Notes: UNF:6:5P0Zgb0SrjiZh1JETu/Dzg==

anticipation

f18407 Location:

Summary Statistics: Min. 0.0; Mean 0.04804148185168791; StDev 0.21385725721755444; Valid 32014.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:QHDEBgu/zzN20OkpDOn25w==

disgust

f18407 Location:

Summary Statistics: Mean 0.2680077466108933; Valid 32014.0; Min. 0.0; Max. 1.0; StDev 0.4429285749307592;

Variable Format: numeric

Notes: UNF:6:JiEHvCxAKEuSqmvh6nKNqA==

fear

f18407 Location:

Summary Statistics: StDev 0.2523945363220341; Max. 1.0; Min. 0.0; Mean 0.06837633535328151; Valid 32014.0;

Variable Format: numeric

Notes: UNF:6:oBBdgRpeK77AzkNJAtXq0g==

joy

f18407 Location:

Summary Statistics: Max. 1.0; Valid 32014.0; Mean 0.3706815768101353; Min. 0.0; StDev 0.48299485748991644

Variable Format: numeric

Notes: UNF:6:d5nnobY3rsrKMwTxD3D0ag==

sadness

f18407 Location:

Summary Statistics: StDev 0.2363387383997327; Mean 0.05938027113138426; Max. 1.0; Min. 0.0; Valid 32014.0

Variable Format: numeric

Notes: UNF:6:U6cQRQdOq+Xot8jwcKq0gg==

surprise

f18407 Location:

Summary Statistics: Valid 32014.0; Mean 0.08902355219590405; Min. 0.0; StDev 0.2847821845637439; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:Y1Cg9A29NqbiS6qTtyrJUA==

trust

f18407 Location:

Summary Statistics: StDev 0.48548407885805245; Mean 0.3803648403823502; Min. 0.0; Max. 1.0; Valid 32014.0;

Variable Format: numeric

Notes: UNF:6:3OiaxMqMc25U+qcDQvaIxQ==

anies

f18407 Location:

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.4554984665580857; Valid 32014.0; Mean 0.29377772224652776

Variable Format: numeric

Notes: UNF:6:Ge68b7cb7BiJGKGxmNIf+g==

prabowo

f18407 Location:

Summary Statistics: StDev 0.43259482169009633; Max. 1.0; Min. 0.0; Mean 0.24926594614855713; Valid 32014.0

Variable Format: numeric

Notes: UNF:6:6diCz7h5M+gVImxbj/pr2g==

ganjar

f18407 Location:

Summary Statistics: Valid 32014.0; Max. 1.0; Min. 0.0; Mean 0.09245954894733513; StDev 0.28967810048893017;

Variable Format: numeric

Notes: UNF:6:X5KGGhm5N31a48Jme7b53g==

Other Study-Related Materials

Label:

Original Dataset Sentiment.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet