Influencer Data(YouTube) - SODII

Sodii includes various data such as search results (channels, videos), trends, channel information, media details, video lists, shorts lists, live video lists, community post information, and merchandise details for specific channels.

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The available columns related to channels are as follows:

subscribers, view_count, media_count, is_verified(verified influencer), avg_view_count, reels_rate, video_rate, reels_count, video_count, total_180_media_count(media published in 180days), avg_media_duration, avg_likes_per_thousand_views,avg_comment_count_per_thousand_views,avg_comment_count_per_hundred_likes, primary_category,secondary_category, third_category, ai_channel_estimated_age,ai_channel_sentiment,ai_channel_languages,ai_channel_genders,country, contact, external_links(other channel of the influencer or web-site), title, description, is_paid_content, keywords, hash_tags, mentioned_influencers

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The available columns related to media are as follows:

author,view_count, like_count, comment_count,engagement_rate, type,published_date, title, thumbnail,description, duration, hash_tags, keywords, mentioned influencer, is_paid_content(paid promote content) ,media_analysis(alcohol, politics,drug,sexual,religion,crime,violence,discrimination,first_category: ,second_category: ,summarized_text), comment_analysis(language,sentiment, gender, estimated_age)

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Here are some examples of how this data can be utilized:

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1. You can identify influencers with high engagement, good response rates, a high comment-to-like ratio, high average views per content, short-form content focus, and frequent uploads, based on categories and sizes (nano, micro, macro, mega) classified by AI.

2. You can find videos from influencers with high engagement, good response rates, a high comment-to-like ratio, and high average views per content, as well as videos that include short-form advertisements, based on categories and sizes (nano, micro, macro, mega) classified by AI.

3. You can identify trending, fastest-growing, newly rising, and most-used hashtags based on categories and sizes (mega, macro, niche) of influencers classified by AI.

4. By analyzing influencer account and content data, you can gather insights on mentioned accounts, whether content is sponsored, sentiment analysis by AI, content sensitivity analysis, comment ratio, response rates, comment-to-like ratio, comment sentiment analysis (positive/negative), and audience analysis (language and country).

5. You can check the main and subcategories of influencers classified by AI, which also extends to the content uploaded by YouTubers.

6. By analyzing hashtags collected by AI, you can perform trend analysis based on similar hashtags, the latest videos using the hashtags, the number of times certain hashtags are used together, and their view counts.

Sodii 数据集涵盖特定创作者（influencer）频道的多类数据，包含搜索结果（频道、视频）、趋势数据、频道信息、媒体详情、视频列表、Shorts（YouTube短视频）列表、直播视频列表、社区帖子信息以及周边商品详情。

与频道相关的可用字段如下：
subscribers：订阅数，view_count：累计播放量，media_count：媒体内容总数，is_verified：已认证创作者标识，avg_view_count：平均单内容播放量，reels_rate：短视频内容占比，video_rate：长视频内容占比，reels_count：短视频内容总量，video_count：长视频内容总量，total_180_media_count：近180天发布的媒体内容数量，avg_media_duration：平均媒体内容时长，avg_likes_per_thousand_views：千次播放平均获赞数，avg_comment_count_per_thousand_views：千次播放平均评论数，avg_comment_count_per_hundred_likes：百次获赞平均评论数，primary_category：一级分类，secondary_category：二级分类，third_category：三级分类，ai_channel_estimated_age：AI估算的频道受众年龄，ai_channel_sentiment：AI分析的频道内容情感倾向，ai_channel_languages：AI识别的频道内容语言，ai_channel_genders：AI识别的频道受众性别，country：运营国家/地区，contact：联系方式，external_links：创作者其他频道链接或个人网站，title：频道标题，description：频道简介，is_paid_content：付费内容标识，keywords：关键词，hash_tags：话题标签，mentioned_influencers：提及的创作者

与媒体内容相关的可用字段如下：
author：创作者，view_count：播放量，like_count：获赞数，comment_count：评论数，engagement_rate：互动率，type：内容类型，published_date：发布日期，title：内容标题，thumbnail：内容缩略图，description：内容简介，duration：内容时长，hash_tags：话题标签，keywords：关键词，mentioned_influencer：提及的创作者，is_paid_content：付费推广内容标识，media_analysis：涵盖酒精、政治、毒品、色情、宗教、犯罪、暴力、歧视相关内容分析，包含一级分类、二级分类、摘要文本，comment_analysis：涵盖语言、情感倾向、性别、估算年龄的评论分析

以下为该数据集的部分应用场景示例：
1. 可基于AI分类的创作者类别与体量（纳米创作者、微型创作者、中型创作者、大型创作者），识别出高互动度、高响应率、高评论赞比、单内容平均播放量优异、专注短视频内容且更新频率稳定的创作者。
2. 可基于AI分类的创作者类别与体量（纳米创作者、微型创作者、中型创作者、大型创作者），筛选出高互动、高响应率、高评论赞比、单内容平均播放量优异的创作者发布的视频，以及包含短视频广告的相关视频。
3. 可基于AI分类的创作者类别与体量（大型创作者、中型创作者、垂类创作者），识别出热门、增速最快、新兴崛起以及高频使用的话题标签。
4. 通过分析创作者账号与内容数据，可获取多维度洞察，包括提及账号、内容是否为赞助推广、AI情感分析结果、内容敏感度分析、评论互动率、响应率、评论赞比、评论情感倾向（正面/负面）以及受众分析（语言与地域）。
5. 可查看AI分类的创作者一级与二级分类，该分类体系同样适用于YouTube创作者上传的内容。
6. 通过分析AI采集的话题标签，可基于相似话题标签、使用该标签的最新视频、话题标签的联合使用频次以及对应播放量开展趋势分析。