Laplace Technologies

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

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

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.