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Domains

Analysis quality improves when the appropriate domain is specified using the domain field of the Request object.

Domains fall into two main genres:

  • Media – for analyzing media and news articles.
  • Voice of the Customer (VoC) – for analyzing customer reviews and customer support texts (e.g., support emails).

Additionally, there are:

  • A generic domain
  • Private custom domains, tailored to a specific customer's needs.

Media Domains

Media domains are optimized for analyzing media and news content. They assume standard spelling and grammar.

Available domains: media, news, sport, tabloid, tech While media provides broadly useful results, selecting a more specific domain improves accuracy in areas such as:

  • Entity disambiguation (e.g., Barcelona is more likely to be interpreted as FC Barcelona than the city);
  • Semantic tag selection.

Supported analyses and languages:

CzechDutchFrenchGermanEnglishSlovakSpanish
Named Entities
Numeric Entities
Entity Linking
Semantic Tags

Alpha support is also available for Polish.

Voice of the Customer (VoC) Domains

VoC domains are designed for customer feedback—both reviews and customer support messages (e.g., emails or chat logs).

If a requested domain isn't supported for a given language (e.g., voc-hospitality for Slovak), the system falls back to the generic domain (see below).

Named entity recognition in VoC domains is limited to relevant items. However, a custom domain can be created to recognize the same named entities as those in media domains (see above).

Supported domains:

DomainDomain ParameterLanguagesEntitiesSentiment
NamedGeneralDomain-SpecificNumericGKB Linking
Generalvocen, cs, skselected
Restaurantsvoc-hospitalityen, cs, deselectedfood, restaurants
Bankingvoc-bankingen, cs, skselectedbanking, insurance
Retailask us
Transportationask us

Generic Domain

The generic domain provides a genre- and domain-agnostic analysis. It is used when no specific domain is specified. Its behavior is similar to the media domain but without entity linking to the knowledge base.

Notes:

  • Named entities include names of people, organizations, locations, and products.
  • General custom entities are standardized keyphrases (e.g., sports names, common political and economic terms).