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Part 1: Document Description
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Citation |
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Title: |
Twitch.tv Chat Log Data |
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Identification Number: |
doi:10.7910/DVN/VE0IVQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-01-16 |
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Version: |
2 |
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Bibliographic Citation: |
Kim, Jeongmin, 2019, "Twitch.tv Chat Log Data", https://doi.org/10.7910/DVN/VE0IVQ, Harvard Dataverse, V2 |
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Citation |
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Title: |
Twitch.tv Chat Log Data |
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Identification Number: |
doi:10.7910/DVN/VE0IVQ |
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Authoring Entity: |
Kim, Jeongmin (Korea Advance Institute of Science and Technology) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Kim, Jeongmin |
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Depositor: |
Kim, Jeongmin |
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Date of Deposit: |
2019-01-16 |
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Holdings Information: |
https://doi.org/10.7910/DVN/VE0IVQ |
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Study Scope |
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Keywords: |
Social Sciences |
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Abstract: |
Collection of chat log of 2,162 Twitch streaming videos by 52 streamers. Time period of target streaming video is from 2018-04-24 to 2018-06-24.<br> <br> Description of columns follows below:<br> body: Actual text for user chat<br> channel_id: Channel identifier (integer)<br> commenter_id: User identifier (integer)<br> commenter_type: User type (character)<br> created_at: Time of when chat was entered (ISO 8601 date and time)<br> fragments: Chat text including parsing information of Twitch emote (JSON list)<br> offset: Time offset between start time of video stream and the time of when chat was entered (float)<br> updated_at: Time of when chat was edited (ISO 8601 date and time)<br> video_id: Video identifier (integer)<br> <br> File name indicates name of Twitch stream channel.<br> This dataset is saved as python3 pandas.DataFrame with python pickle format.<br> <code> import pandas as pd<br> pd.read_pickle('ninja.pkl')<br> </code> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
Twitch_data.zip.7z |
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Notes: |
application/x-7z-compressed |