# INTENTS

It’s a **base**, a dedicated resource of knowledge about a given brand or service. It’s usually customized for a given company. Covers dedicated content in the form.  Intents work with [Dictionaries ](#dictionaries-are-a-specific-type-of-knowledge-base-they-are-vastly-contributing-to-intent-recognition-process-they-may-cover)and [Language corpuses.](#language-corpus-is-a-large-and-structured-set-of-text-words) Dictionaries are resources of content that enables better query recognition, including synonyms, prefixes and corrections.  &#x9;

#### &#xD;Dictionaries are a specific type of knowledge base. They are vastly contributing to intent recognition process. They may cover:&#xD;

* Generic (Global) synonyms,
* Company’s (Brand’s) synonyms,
* Prefixes (Intents),
* Correction,
* Language corpus.

Elements located in Dictionaries have high importance: they are searched in parallel with the Main Base or Small Talk Base when user inputs the utterance.

#### &#xD;Language corpus is a large and structured set of text, words.

&#x20;They are used to doing statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory. The AI-Engineer tool uses language corpuses in natural language processing algorithms. Unlike synonym dictionaries and prefixes, they come pre-set, without the ability of content edit from the level of the Builder tool.

Key elements of INTENTS are:&#x20;

* [**Main Intents**](https://help.inteliwise.com/chatbot/4-step-approach-to-chatbot-training-development-of-content-and-interaction/step-4-training-ai-chatbot-understanding-capabilities-based-on-nlu-nlp/intents/main-intents)
* [**Labels | Tags**](https://help.inteliwise.com/chatbot/4-step-approach-to-chatbot-training-development-of-content-and-interaction/step-4-training-ai-chatbot-understanding-capabilities-based-on-nlu-nlp/intents/the-structure-of-intents-labels-or-tags)
* [**Spiders**](https://help.inteliwise.com/chatbot/4-step-approach-to-chatbot-training-development-of-content-and-interaction/step-4-training-ai-chatbot-understanding-capabilities-based-on-nlu-nlp/intents/groups-of-question-response-matching-spiders)
