The mandatory values for creating a configuration are:

name
language_id

During config creation, an ID is assigned by Semantria. During update or delete, you pass the ID of the configuration you want to manipulate to Semantria in the URL.

General Settings

Setting	Default Value	Type	Description
`alphanumeric_threshold`	`80`	integer	Percentage of content that has to be alpha-numeric for processing to succeed. Documents that do not meet this threshold will be returned to you with a FAILED status. Valid range: 0 - 100
`callback_url`	`null`	string	URL Semantria should POST data to when processed. Only set this if you are using the callback data retrieval method. If this is set, Semantria will enable callback and send documents to this URL. The URL must start with 'https://'
`concept_topics_threshold`	`0.45`	double	Confidence level a category (concept topic) match must have to be returned for a document. Valid range: 0 - 1
`entities_threshold`	`0.55`	double	Confidence level an entity match must have to be returned for a document. Valid range: 0 - 100
`is_autoresponse_enabled`	`false`	boolean	Whether to use the auto-response method for doc processing.
`name`	no default	string	Name of configuration.
`language_id`	no default	string	The two character ID of the language you are going to process with this config.
`language_name`	no default	string	Which language you are going to process with this config. This will be auto-filled by Semantria from the code when first processing.
`pos_types`	`null`	string	Which Parts of Speech to return Accepts: `All` or one or more of `Noun` `Verb` `Adjective`. If setting more than one, separate with a comma.
`summary_size`	`3`	integer	Length of summary in sentences to return per document.
`template_config`	no default	string	Template id this config was created from, if any.
`updated`	no default	`YYYY-MM-DD HH:MM:SS`	UTC date and time this config was last updated.

Boolean Settings

The presence of an argument in these settings turns that setting on, while absence turns the setting off

`ANAPHORA_RESOLUTION`	Option to turn on/off anaphora resolution.
`ATTRIBUTES`	Turn off/on attribute calculation for collection mode.
`AUTO_CATEGORIES`	Return automatic classification based on a pre-built taxonomy (not editable by the user).
`BLACKLISTS`	Option to respect lists of words that should not be returned as part of sentiment or themes.
`CONCEPT_TOPICS`	Return Concept Topics.
`DETECT_LANGUAGE`	Use Semantria-provided language detection library.
`DETECT_PHRASES`	Use Semantria algorithm to detect possible sentiment phrases.
`DOC_CLASSIFICATION`	Use user-provided model-based document classification.
`ENTITIES_STEMMING`	Stem entities.
`ENTITY_OVERLAP`	Can a single string return two entities that overlap. E.g. "Ford Fusion" is both a car and a company.
`FACETS`	Calculate facets in collection mode.
`FACET_STEMMING`	Stem facets.
`FAIL_ON_LONG_SENTENCES`	Fail documents with a sentence longer than 1,000 words.
`FLATTEN_ALL_UPPERCASE`	Turn all upper-case documents into lower-case for NLP purposes.
`INTENTIONS`	Return intentions.
`MENTIONS`	Return individual mention location information for NLP extracted items such as entities, themes and queries.
`MODEL_SENTIMENT`	Run user-provided model based sentiment.
`NAMED_ENTITIES`	Return entities discovered by NLP.
`ONE_SENTENCE_MODE`	Treat entire document as a single sentence for NLP purposes.
`OPINIONS`	Return opinions.
`OVERRIDE_SENTIMENT_DICTIONARY`	Don't use built-in sentiment dictionary, only user-provided one.
`PROCESS_HTML`	Try to extract text from well-formed HTML. This will treat the document as having HTML markup.
`QUERY_TOPICS`	Return Query Topics.
`THEMES`	Return themes.
`INTENTIONS`	Whether to retrieve intentions for a document or not.
`SENTIMENT`	Return sentiment phrases.
`RELATIONS`	Return relations.
`SENTIMENT_PHRASES`	Return extracted sentiment phrases.
`TAXONOMY`	Return results from user-defined taxonomy.
`TOPIC_STEMMING`	Stem content for query topics.
`USER_ENTITIES`	Return user-defined entities.

Example JSON output

An example of a JSON object for setting the values is below.

{
    "alphanumeric_threshold": 41,
    "concept_topics_threshold": 0.35,
    "entities_threshold": 40,
    "id": "ed7b6405-2bc2-443d-b6c4-0feab9050c5d",
    "is_autoresponse_enabled": false,
    "language_id": "en",
    "language_name": "English",
    "name": "english --- default",
    "pos_types": "all",
    "settings": [
        "OPINIONS",
        "FACETS",
        "MENTIONS",
        "NAMED_ENTITIES",
        "SENTIMENT_PHRASES",
        "TAXONOMY",
        "ATTRIBUTES",
        "ENTITIES_STEMMING",
        "AUTO_CATEGORIES",
        "ENTITY_OVERLAP",
        "QUERY_TOPICS",
        "RELATIONS",
        "FAIL_ON_LONG_SENTENCES",
        "FACETS_STEMMING",
        "DOC_CLASSIFICATION",
        "ONE_SENTENCE_MODE",
        "DETECT_LANGUAGE",
        "FLATTEN_ALL_UPPER_CASE",
        "TOPIC_STEMMING",
        "USER_ENTITIES",
        "RETURN_SOURCE_TEXT",
        "MODEL_SENTIMENT",
        "INTENTIONS",
        "OVERRIDE_SENTIMENT_DICTIONARY",
        "DETECT_PHRASES",
        "ANAPHORA_RESOLUTION",
        "BLACKLISTS",
        "CONCEPT_TOPICS",
        "THEMES",
        "PROCESS_HTML"
    ],
    "summary_size": 3,
    "updated": "2021-02-18T20:46:22.927Z"
}