Get top keywords
Returns the top keywords from community interactions matching the provided filters, ranked by frequency.
Documentation Index
Fetch the complete documentation index at: https://developer.dashsocial.com/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
List of brand IDs to fetch top keywords for
Comma separated list of AI category IDs to filter by
ID of the assigned user
Comma separated list of assignee user IDs to filter by
Comma separated list of types
emojis, hashtags, mentions, words Filter by interactions that were deleted by user or rule
RULE, USER List of interaction rule IDs to fetch top keywords for
Whether the community interaction is marked as archived.
Whether the community interaction is marked as follow-up.
Is the comment is labeled as positive.
Is the comment is labeled as positive.
Is the comment is labeled as positive.
Is the comment a question.
Whether the community interaction is marked as read.
Is the comment spam.
Maximum number of keywords to extract
x >= 1Comma separated list of library media IDs
Message content type to filter by
EMOJI_ONLY, GIF_ONLY, HASHTAG_ONLY, LINK_ONLY, MENTION_ONLY, ONE_WORD_ONLY, UNSUPPORTED Flag to determine if query is a list of comma separated keywords.
A map of field names, from this schema (and parent schemas), that operators types are provided for.
A text that helps search for relevant records.
Determine if a response is recommended for the interaction.
When the community interaction was updated according to the source platform.
When the community interaction was updated according to the source platform.
Subtypes to filter by
POST_SHARE, REEL_SHARE, STORY_MENTION, STORY_REPLY Comma separated list of tag IDs to filter results by. Condition is AND
A ticket ID to filter results by with OR condition.
Comma separated list of types
FACEBOOK_ADS_COMMENT, FACEBOOK_COMMENT, FACEBOOK_CONVERSATION, INSTAGRAM_ADS_COMMENT, INSTAGRAM_COMMENT, INSTAGRAM_CONVERSATION, TIKTOK_CAPTION_MENTION, TIKTOK_COMMENT, TIKTOK_COMMENT_MENTION, TWITTER_CONVERSATION, TWITTER_MENTION, TWITTER_QUOTE, TWITTER_RETWEET, YOUTUBE_COMMENT Response
OK
The number of negatively scored comments
x >= 0The number of neutrally scored comments
x >= 0The number of positively scored comments
x >= 0The sentiment counts for the top keyword matches