Wish 107.5 YouTube Comments Dataset
A YouTube dataset of 2,004,605 comments from 635 videos, collected by Bwan Wando via YouTube API. Each record contains comment text, like count, reply count, video ID, timestamp, anonymized author ID. A large-scale dataset of 2M+ comments from the Wish 107.5 YouTube channel, a popular Philippine FM radio station known for its live music performances. Suitable for sentiment analysis, topic modeling, fan engagement, cultural studies, natural language processing.
Cite this dataset at
wish1075.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 144 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Topic 22
Topic 23
Topic 24
Topic 25
Topic 26
Topic 27
Topic 28
Topic 29
Topic 30
Topic 31
Topic 32
Topic 33
Topic 34
Topic 35
Topic 36
Topic 37
Topic 38
Topic 39
Topic 40
Topic 41
Topic 42
Topic 43
Topic 44
Topic 45
Topic 46
Topic 47
Topic 48
Topic 49
Topic 50
Topic 51
Topic 52
Topic 53
Topic 54
Topic 55
Topic 56
Topic 57
Topic 58
Topic 59
Topic 60
Topic 61
Topic 62
Topic 63
Topic 64
Topic 65
Topic 66
Topic 67
Topic 68
Topic 69
Topic 70
Topic 71
Topic 72
Topic 73
Topic 74
Topic 75
Topic 76
Topic 77
Topic 78
Topic 79
Topic 80
Topic 81
Topic 82
Topic 83
Topic 84
Topic 85
Topic 86
Topic 87
Topic 88
Topic 89
Topic 90
Topic 91
Topic 92
Topic 93
Topic 94
Topic 95
Topic 96
Topic 97
Topic 98
Topic 99
Topic 100
Topic 101
Topic 102
Topic 103
Topic 104
Topic 105
Topic 106
Topic 107
Topic 108
Topic 109
Topic 110
Topic 111
Topic 112
Topic 113
Topic 114
Topic 115
Topic 116
Topic 117
Topic 118
Topic 119
Topic 120
Topic 121
Topic 122
Topic 123
Topic 124
Topic 125
Topic 126
Topic 127
Topic 128
Topic 129
Topic 130
Topic 131
Topic 132
Topic 133
Topic 134
Topic 135
Topic 136
Topic 137
Topic 138
Topic 139
Topic 140
Topic 141
Topic 142
Topic 143
Sampled: text metrics from 50K of 2M records; topic model from 20K.
Record
- Catalog key
wish1075- Authors
- Wando, Bwan
- Year
- 2024
- Source paper
- Wish 107.5 Official YouTube Channel Comments
- License
- CC BY-NC-SA 4.0 (Kaggle) (CC-BY-NC-SA-4.0)
- Records
- 2,004,605
- Text corpus
- comment text
- Languages
- en, fil
- Collected
- 2015-2024 (2010s, 2020s)
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://www.kaggle.com/datasets/bwandowando/wish-107-5-official-yt-channel-comments unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 519.1 MB across 1 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{wando2024wish,
title = {Wish 107.5 Official YouTube Channel Comments},
author = {Wando, Bwan},
year = {2024},
howpublished = {\url{https://www.kaggle.com/datasets/bwandowando/wish-107-5-official-yt-channel-comments}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Wando, B. (2024). Wish 107.5 YouTube Comments Dataset [Data set]. https://wish1075.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Wando, Bwan. Wish 107.5 YouTube Comments Dataset. 2024, wish1075.echo.directory/.