LexalyticsLicense

This structure has no accessible members

ModelSmokeTestEntry

`acModelPath`	The filesystem path to the model that was tested
`acMessage`	Brief error message
`acExplanation`	Detailed error message
`acDocumentId`	Internal ID of the document that produced the error
`acExpectedLabel`	True classification for document or textual item, e.g. entity
`acActualLabel`	Classification actually reported by the model for document or textual item
`acExpectedSpanOffset`	True offset into document for a textual item (in characters)
`acActualSpanOffset`	The offset actually reported for a textual item (in characters)
`acExpectedSpanLength`	True length of a textual item (in characters)
`acActualSpanLength`	The length actually reported of a textual item (in characters)

SalienceAttribute

`acAttribute`	The text of the attribute
`nCount`	The count of occurrences of the attribute
`nPositiveCount`	The count of positive occurrences of the attribute, based on value of the Neutral Upper Bound option.
`nNegativeCount`	The count of negative occurrences of the attribute, based on value of the Neutral Lower Bound option.
`nNeutralCount`	The count of neutral occurrences of the attribute, based on value of the Neutral Upper Bound and Neutral Lower Bound options.
`oMentions`	A SaliencePhraseList structure with details about the occurrences
`oPositiveMentions`	A SaliencePhraseList structure with details about the positive occurrences of the attribute, based on value of the Neutral Upper Bound option.
`oNegativeMentions`	A SaliencePhraseList structure with details about the negative occurrences of the attribute, based on value of the Neutral Lower Bound option.
`oNeutralMentions`	A SaliencePhraseList structure with details about the neutral occurrences of the attribute, based on value of the Neutral Upper Bound and Neutral Lower Bound options.

SalienceChunk

`pTokens`	A pointer to a list of SalienceWord structures that comprise the chunk
`nLength`	The number of SalienceWords in the chunk
`acLabel`	A label describing the grammatical type of the chunk
`nSentence`	A zero-based index indicating the sentence in which the chunk appears

SalienceCollection

`acCollectionName`	Name of the collection
`nSize`	Size of the collection
`pDocuments`	A pointer to a list of SalienceCollectionDocument structures that comprise the collection

SalienceCollectionDetails

`nSize`	The number of documents added to the collection

SalienceCollectionEntity

`acNormalizedForm`	Normalized form of the entity
`acType`	Type of entity (Company, Person, Place, Product, etc.)
`acLabel`	Descriptive label for the entity
`nCount`	Count of documents in which this entity occurs
`nPositiveCount`	Count of documents in which this entity occurs with positive sentiment, based on value of the Neutral Upper Bound option
`nNegativeCount`	Count of documents in which this entity occurs with negative sentiment, based on value of the Neutral Lower Bound option
`nNeutralCount`	Count of documents in which this entity occurs with neutral sentiment, based on value of the Neutral Lower Bound and Neutral Upper Bound options
`oMentions`	A SaliencePhraseList of all mentions of this entity in the document

SalienceDocument

`nSentenceCount`	The number of SalienceSentences in the document
`pSentences`	A pointer to a list of SalienceSentence structures that make up the document

SalienceDocumentDetails

`nSectionCount`	The number of SalienceSections that comprise the document
`oSections`	A pointer to a list of SalienceSections containing information about the sections within the document

SalienceRelatedEntity

`acRelation`	Name of the relation between the parent entity and the related entity.
`pEntity`	Related Entity

SalienceEntity

`acNormalizedForm`	Normalized form of the entity
`acType`	Type of entity (Company, Person, Place, Product, etc.)
`acLabel`	Descriptive label for the entity
`fSentimentScore`	Sentiment related to the entity
`nEvidence`	A measure of how much evidence the sentiment score was based on (1 to 7)
`nConfident`	Whether the entity passed any confidence queries
`nAbout`	Whether the document is about this entity
`acSummary`	A summary of the document related to this entity
`oMentions`	A SalienceMentionList of all mentions of this entity in the document
`oThemes`	A SalienceThemeList of themes related to this entity
`oSentimentPhrases`	A SalienceSentimentPhraseList of sentiment phrases related to this entity
`oTopics`	A SalienceTopicList structure with details about topics that co-occur with entities
`oRelatedEntities`	A SalienceRelatedEntityList structure with details about entities related to this entity, currently just used by metaentities.

SalienceFacet

`acFacet`	The text of the facet
`acSubFacetList`	The list of sub-facets. Note: At present the acSubFacetList is empty and reserved for future possible use.
`nCount`	The count of occurrences of the facet
`nPositiveCount`	The count of positive occurrences of the facet, based on value of the Neutral Upper Bound option
`nNegativeCount`	The count of negative occurrences of the facet, based on value of the Neutral Lower Bound option
`nNeutralCount`	The count of neutral occurrences of the facet, based on value of the Neutral Lower Bound and Neutral Upper Bound options
`pAttributes`	Pointer to a list of SalienceAttribute structures for the facet
`nSubjectLength`	Number of SalienceAttribute structures for the facet
`oMentions`	A SaliencePhraseList structure with details about the occurrences
`oPositiveMentions`	A SaliencePhraseList structure with details about the positive occurrences of the facet, based on value of the Neutral Upper Bound option.
`oNegativeMentions`	A SaliencePhraseList structure with details about the negative occurrences of the facet, based on value of the Neutral Lower Bound option.
`oNeutralMentions`	A SaliencePhraseList structure with details about the neutral occurrences of the facet, based on value of the Neutral Upper Bound and Neutral Lower Bound options.

SalienceIntention

`acEvidence`	The phrase expressing the intention.
`acType`	The intention type, out of the set of defined intention types, that was detected.
`acWhat`	The object of the intention, if detected. Otherwise, this structure member will be empty.
`acWho`	The expresser of the intention, if detected. Otherwise, this structure member will be empty.
`oWhat`	A SalienceChunk containing positional information about the chunk identifying the object of the intention
`oWho`	A SalienceChunk containing positional information about the chunk identifying the expresser of the intention. This will be an empty structure containing zeroes if acWho has not been detected.
`oEvidence`	A SalienceChunk containing positional information about the chunk containing the intention

SalienceMention

`oPhrase`	A SaliencePhrase structure containing location of the mention in text
`nType`	The type of mention (Named, Nominal, Pronominal)
`fScore`	How likely it is that this is actually a mention of the entity

SalienceOpinion

`oSpeaker`	A SalienceEntity structure for the entity expressing the opinion
`oEntityTopic`	A SalienceEntity structure for the entity that is the subject of the opinion, if applicable
`oThemeTopic`	A SalienceTheme structure for the theme that is the subject of the opinion, if applicable Collections: Is always NULL
`acQuotation`	The text of the expressed opinion
`fSentiment`	The sentiment associated with the opinion
`nHasTheme`	An indicator of whether the opinion is being expressed about an entity or a theme

SalienceOption

`nOption`	Integer code for the option being set, as defined in SalienceOptions
`acValue`	Use this member if the option requires a string value
`nValue`	Use this member if the option requires an integer value
`fValue`	Use this member if the option requires a float value

SaliencePhrase

`acText`	The text of the phrase
`nDocument`	The zero-based index of the document in the collection
`nSentence`	The zero-based index of the sentence
`nWord`	The zero-based index of the first token in the phrase
`nLength`	The length (in tokens) of the phrase
`nByte`	The byte offset in the original text that the phrase starts at
`nByteLength`	The length of the phrase in bytes
`nIsNegated`	An indicator of whether this phrase has been negated
`acNegator`	The token responsible for negation if nNegated = 1
`nType`	An indicator of whether the phrase is negated (1), modified (2), both (3), or neither (0). This is only relevant to phrases related to SalienceSentimentPhrases
`nSection`	The zero-based index of the document details section that this phrase occurs in
`nRow`	The zero-based index of the row if the phrase occurs in a list or table
`nColumn`	The zero-based index of the column if the phrase occurs in a list or table

SalienceRelation

`oEntities`	A SalienceEntityList structure with the entities involved in the relationship
`acType`	Type of relationship, as defined in the relationship pattern
`fConfidence`	Measure of confidence in the relationship
`acExtra`	Additional information associated with the relationship

SalienceRow

`nColumnCount`	A count of the columns detected in this row
`oColumns`	A SalienceTokenList of the tokens in this row

SalienceSection

`nWordCount`	The number of SalienceWords in the section
`nSentenceCount`	The number of SalienceSentences in the section
`nObjectiveCount`	The number of objective SalienceSentences in the section
`nSubjectiveCount`	The number of subjective SalienceSentences in the section
`nParsedCount`	The number of sentences that grammatically parse
`oTermFrequency`	A SalienceTokenList structure providing term frequency analysis. Note that the tokens for term frequency analysis do not include numbers, punctuation, conjunctions or determiners.
`oTaggedTermFrequency`	A SalienceTokenList structure providing tagged term frequency analysis
`oBiGrams`	A SalienceTokenList structure providing bi-gram frequency analysis. Note that the bi-grams do not include numbers, punctuation, conjunctions or determiners.
`oTaggedBiGrams`	A SalienceTokenList structure providing tagged bi-gram frequency analysis
`oTriGrams`	A SalienceTokenList structure providing tri-gram frequency analysis. Note that the tri-grams do not include numbers, punctuation, conjunctions or determiners.
`oTaggedTriGrams`	A SalienceTokenList structure providing tagged tri-gram frequency analysis
`oQuadGrams`	A SalienceTokenList structure providing quad-gram frequency analysis. Note that the quad-grams do not include numbers, punctuation, conjunctions or determiners.
`oNegators`	A SalienceTokenList structure providing frequency analysis of negators
`oIntensifiers`	A SalienceTokenList structure providing frequency analysis of intensifiers
`pSentences`	A pointer to a list of SalienceSentence structures that make up the document
`acInternalVersion`	The internal version of the document
`acFingerprint`	A calculated fingerprint of the document (DEPRECATED)
`oRows`	If this section is a table or row, a SalienceRowList structure is provided for each row
`acHeader`	The header for this section

SalienceSentence

`pTokens`	A pointer to a list of SalienceWord structures that make up the sentence
`pChunks`	A pointer to a list of SalienceChunk structures that make up the sentence
`nLength`	The number of SalienceWords in the sentence
`nChunkCount`	The number of SalienceChunks in the sentence
`nSubjective`	An indicator specifying if the sentence is subjective (1) or objective (0)
`nPolar`	An indicator specifying if the sentence conveys sentiment polarity (1) or not (0)
`nImperative`	An indicator specifying if the sentence conveys an imperative or "call to action" statement (1) or not (0)
`acText`	The text of the sentence
`nSummaryRank`	The rank of the sentence with relation to the summary. A call to retrieve the document summary must be made for this field to be initialized, otherwise this structure member contains the value -1.
`fSentiment`	Reserved for future use to provide sentence-level sentiment. Currently returns 0.

SalienceSentimentModel

`nBest`	Indicator of the sentiment category determined as best match (0=Positive, 1=Negative, 2=Mixed, 3=Neutral)
`fPositive`	Model-based score associated with likelihood document is positive
`fNegative`	Model-based score associated with likelihood document is negative
`fMixed`	Model-based score associated with likelihood document is mixed
`fNeutral`	Model-based score associated with likelihood document is neutral
`acModelName`	Name of the sentiment model used for scoring

Note: Sum of model scores should equal 1, nBest should match category of greatest model score.

SalienceSentimentPhrase

`oPhrase`	A SaliencePhrase structure with details about the phrase
`fScore`	The sentiment weight for the phrase
`nType`	An indicator specifying if the phrase is HSD-based or not
`acSource`	The path of the HSD file containing the phrase, if HSD-based
`nModified`	An indicator specifying if the phrase has been modified << 0: no modification, 1: negated, 2: intensified, 3: negated and intensified
`oSupportingPhrases`	A SaliencePhraseList with details about any relevant supporting phrases, such as a negating phrases or intensifying phrase

SalienceSentimentResult

`fScore`	Phrase-based sentiment score
`oPhrases`	A SalienceSentimentPhraseList structure containing details of phrase-based sentiment analysis
`pModel`	Pointer to a list of SalienceSentimentModel structures containing details of model-based sentiment analysis
`nModelCount`	Number of models for which model-based sentiment results are provided
`oEmotions`	DEPRECATED: A list of SalienceTopicList structures containing information about emotions detected in the content

SalienceSession

This structure has no accessible members

SalienceSessionStartup

`acError`	Character buffer filled with error message when needed
`nStartupLog`	Integer flag indicating whether startup log should be created (1) or not (0)
`acLogPath`	Fully-qualified path to location where startup log can be written
`acDataDirectory`	Character buffer containing path to data directory for use
`acUserDirectory`	Character buffer containing path to user directory for use
`nMode`	A integer to set a pre-defined mode for Salience, which has the effect of setting specific option values for handling certain content.

The mode member of the structure may be set to the following values:

SALIENCEMODE_DEFAULT: Default mode for handling general content.

SALIENCEMODE_SHORTFORM: Mode for handling short-form content such as Twitter.

SalienceSummaryResult

`acSummary`	Character buffer providing summary for the document via default method
`pDocument`	A pointer to a SalienceDocument structure containing a pointer to a list of SalienceSentence structures for the sentences in the summary. The SalienceSentence structs will contain ranking for the sentence with respect to the summary.
`acAlternateSummary`	Character buffer providing summary generated for the document via an alternate method
`pAlternateDocument`	A pointer to a SalienceDocument structure containing a pointer to a list of SalienceSentence structures for the sentences in the alternate summary. The SalienceSentence structs will contain ranking for the sentence with respect to the alternate summary.

SalienceTheme

`acTheme`	The text of the theme
`acStemmedTheme`	The stemmed version of the theme
`acNormalizedTheme`	The normalized version of the theme
`nThemeType`	An indicator is this is a "meta-theme" (1) or not (0)
`fScore`	Documents: A measure of the strength of the theme within the document Collections: A count of the themes that have been rolled together across collection documents into this theme result
`fSentiment`	Documents: The sentiment score for the theme Collections: A sentiment score derived from aggregating the sentences containing the theme mentions into a single document
`nEvidence`	Documents: A measure (from 1 to 7) of the content on which the sentiment score for the theme is based Collections: The number of sentiment phrases used in calculating the theme's sentiment as described above
`nAbout`	Documents: An indicator specifying if the theme is contained within the summary of the document Collections: False (not used)
`acSummary`	A summary of the document content relevant to the theme
`oMentions`	A SaliencePhraseList structure with details about the theme occurrences
`oTopics`	A SalienceTopicList structure with details about topics that co-occur with themes.
`oAlternateThemes`	Reserved for future use.
`oChildMentions`	A SaliencePhraseList structure with details about phrases associated with child mentions of the theme.
`oRelatedMentions`	A SaliencePhraseList structure with details about phrases associated with related mentions of the theme.

SalienceToken

`acToken`	A single token (generally a word, but also includes punctuation and other individual textual items)
`nCount`	Number of occurrences of the token

SalienceTopic

The SalienceTopic structure is used as the return structure for multiple functions.

Query-defined topics

When returned for query-defined topics at the document level

`acTopic`	The query-defined topic label
`nHits`	Number of query terms that hit within the document content
`fScore`	0 (not used)
`fSentiment`	The sentiment score for document content associated with the topic
`acAdditional`	A field for any additional information related to the topic
`nType`	0 (indicates query topic result)
`pChildren`	Null (not used)
`oEntities`	A SalienceEntityList containing information about entities specified in the query definition, if any. Otherwise, an empty list.
`oSentimentPhrases`	A SalienceSentimentPhraseList containing information about the phrases used in calculating this topic's sentiment score

When returned for query-defined topics at the collection level

`acTopic`	The query-defined topic label
`nHits`	The number of documents within the collection that contain hits for the topic
`fScore`	0 (not used)
`fSentiment`	An average of the sentiment values for topic hits within the collection
`acAdditional`	A field for any additional information related to the topic
`nType`	0 (indicates query topic result)
`pChildren`	Null (not used)
`oEntities`	A SalienceEntityList containing information about entities specified in the query definition, if any. Otherwise, an empty list.
`oSentimentPhrases`	Null (not used)

Concept-defined topics

When returned for concept topics at the document level

`acTopic`	The concept topic label
`nHits`	0 (not used)
`fScore`	Strength of the concept topic match to document content
`fSentiment`	Sentiment for content related to the topic within the document
`acAdditional`	A field for any additional information related to the topic
`nType`	1 (indicates concept topic result)
`pChildren`	Null (not used)
`oEntities`	Not used, this member will contain an empty SalienceEntityList
`oSentimentPhrases`	A SalienceSentimentPhraseList containing information about the phrases used in calculating this topic's sentiment score

When returned for concept topics at the collection level

`acTopic`	The concept topic label
`nHits`	The number of documents within the collection that match the concept
`fScore`	0 (not used)
`fSentiment`	An average of the sentiment values for topic hits within the collection
`acAdditional`	A field for any additional information related to the topic
`nType`	1 (indicates concept topic result)
`pChildren`	Null (not used)
`oEntities`	Not used, this member will contain an empty SalienceEntityList
`oSentimentPhrases`	Null (not used)

Classification

Document classification results are determined via the API call lxaGetDocumentClasses. Document classification is only available at the document level.

`acTopic`	The classification label
`nHits`	0 (not used)
`fScore`	This provides an indication of the strength of the match for the classification
`fSentiment`	0 (not used)
`acAdditional`	Not used
`nType`	Not used
`pChildren`	Not used
`oEntities`	Not used
`oSentimentPhrases`	Null (not used)

SalienceWord

`acToken`	The token associated with the word
`acPOSTag`	The part-of-speech tag associated with the token, see Supported POS tags
`acStem`	The stemmed version of the word
`nInvert`	An indicator specifying if sentiment for the word has been inverted
`fSentiment`	Sentiment for word, filled in when returned for sentiment and entity markup
`nSentimentType`	Indicator of source of sentiment; from hand-scored dictionary, or stopword
`acEntityType`	Entity type for word if it is part of an entity, returned for entity markup
`nId`	Identifiers of which markup applies to the word
`nSecondaryId`	Secondary identifier of which markup applies to the word
`nPostFixed`	An indicator specifying if the word is post-fixed (followed by a space)

Salience

The Salience Developer Hub

Item Structures