Daily mention volumes, topics and sentiment for 18,000 brands and products across Korean blogs, community boards and video comments, aggregated with no author profiles.
Data product · Listing updated 11 Nov 2026
South Korea
Previous day's aggregates available by 06:00 KST
3.2 million posts analysed a day, 18,000 brands tracked
Small and medium businesses, Mid-market, Enterprises
Public posts and comments on Korean portal blogs, cafés, community boards and video platforms
Collection within platform terms, author IDs dropped at ingestion, Korean NLP and daily aggregation
Daily brand metrics from Korean online conversation, where much of the discussion happens on local portals and communities rather than global networks.
Seoulwave collects public posts and comments from major Korean portal blogs, cafés, community boards and public video comment sections, within each platform's terms. Author names and IDs are dropped at ingestion and never stored; the dataset contains only aggregates by brand, channel and day. Sentiment and topic models are trained on Korean community language, including slang, abbreviations and mixed Korean and English. A brand-matching dictionary of 18,000 brands is maintained by analysts and can be extended on request. History starts in 2019.
12 fields as documented by Seoulwave Social Data.
| Field | Type | Description | Example |
|---|---|---|---|
| date | date | Day of the aggregate (KST) | — |
| brand_id | string | Seoulwave brand identifier | — |
| brand_name | string | Brand or product name | — |
| category | string | Brand category | — |
| channel_type | string | blog, cafe, community or video_comments | — |
| mention_count | integer | Posts and comments mentioning the brand | — |
| unique_authors_band | string | Banded number of distinct authors | — |
| positive_share | number | Share of positive mentions | — |
| negative_share | number | Share of negative mentions | — |
| net_sentiment | number | Positive minus negative share | — |
| top_topics | json | Leading topics with weights | — |
| share_of_voice | number | Share of category mentions | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| datestring | brand_namestring | channel_typestring | mention_countstring | net_sentimentstring | share_of_voicestring |
|---|---|---|---|---|---|
| 2026-11-02 | Demo Ramen | community | 1840 | 0.22 | 0.14 |
| 2026-11-02 | Example Cosmetics | blog | 3215 | 0.41 | 0.09 |
| 2026-11-02 | Sample Mobile Game | video_comments | 9020 | -0.18 | 0.21 |
Prices in USD, as published by Seoulwave Social Data
up to 200 brands
full brand universe
Converted amounts use DataStoa display rates and are approximate. Seoulwave Social Data quotes the final price, taxes and terms.
Request detailed pricing1 country.
Time coverage: 2019 to present.
Provider-reported
Latency: Previous day's aggregates available by 06:00 KST
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Seoulwave Social Data. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach, research use. Ask Seoulwave Social Data if you need any of these.
Korean and Japanese social, creator and app market data
Seoulwave Social Data tracks public conversation, creators and app markets in South Korea and Japan and delivers them as aggregated daily metrics. Brands and investors use it to follow consumer sentiment and digital trends in two markets that global tools often cover thinly.
Also available on: Snowflake Marketplace