S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse...
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zipUpdated Oct 30, 2025
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EmailClick to copy linkLink copiedCiteHongtao Wang; Shan Wang; Yijun Lu; Nikolai Ivanovich Vatin; Jiandong Huang (2025). S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse media communication [Dataset]. http://doi.org/10.1371/journal.pone.0332106.s001zipAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0332106.s001Dataset updatedOct 30, 2025AuthorsHongtao Wang; Shan Wang; Yijun Lu; Nikolai Ivanovich Vatin; Jiandong HuangLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Sentiment140 Twitter sentiment dataset analyzed in this study is publicly available and can be downloaded directly from: (https://nyc3.digitaloceanspaces.com/ml-files-distro/v1/investigating-sentiment-analysis/data/training.1600000.processed.noemoticon.csv.zip). The Amazon Customer Reviews dataset is publicly available via the AWS Registry of Open Data at: (https://registry.opendata.aws/amazon-reviews/). (ZIP)
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Sentiment140 Twitter sentiment dataset analyzed in this study is publicly available and can be downloaded directly from: (https://nyc3.digitaloceanspaces.com/ml-files-distro/v1/investigating-sentiment-analysis/data/training.1600000.processed.noemoticon.csv.zip). The Amazon Customer Reviews dataset is publicly available via the AWS Registry of Open Data at: (https://registry.opendata.aws/amazon-reviews/). (ZIP)