| Interface | Description |
|---|---|
| SemanticProcessor.Transformer<T> | |
| SemanticProcessor.Visitor | |
| VocabularyClassifier.Transformer<T> | |
| VocabularyClassifier.Visitor |
| Class | Description |
|---|---|
| AcronymDetector |
Detect acronyms like 'o.n.u' and extract 'onu'.
|
| Anchorer |
Add an annotation on the first and last tokens of either a processed sequence (first/last) or range defined by an annotation a (first_a/last_a)
|
| AnnotationManager |
Implements basic operations on semantic annotations.
|
| AnnotationManagerOperation |
Element of an AnnotationManager configuration
|
| AnnotationProcessed |
Alternative way to specify the list of annotations to be processed by the operation KeepLongestLeftMost
|
| BasisTechTokenizationCompatibility |
No documentation for this element.
|
| BasisTechTokenizer |
No documentation for this element.
|
| BlackList |
No documentation for this element.
|
| Categorizer |
A Categorizer classifies a whole document per the existing annotations on
selected Document Chunks. |
| ChineseTokenizer |
When set in the configuration, tokenizes Chinese documents.
|
| ChineseWordFinder |
This class performs words detection for Chinese.
Use with a Standard tokenizer. |
| Chunker |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| CompoundWordSplitter |
Processor that can split CamelCase words (words with inner capital letters) and words with inner underscores.
|
| Copy |
Copies a source annotation along with its display form and display kind to a target annotation
|
| CustomSemanticProcessor |
A custom semantic processor that allows to plug custom code into the semantic pipeline.
|
| CustomTokenizer |
No documentation for this element.
|
| DutchDisagglutiner |
This class performs disagglutinations for Dutch.
Use with a Standard tokenizer. |
| Entry |
No documentation for this element.
|
| FarTextAnnotator |
Annotate alphanumeric tokens starting from 'startOffset'
|
| FastRulesMatcher |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| FeaturesExtractor |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| Form |
No documentation for this element.
|
| FormIndexingConfig |
No documentation for this element.
|
| FrequencyAnalyzer |
Frequency-related toolbox
|
| GermanDisagglutiner |
This class performs disagglutinations for German.
Use with a Standard tokenizer. |
| GetLinguisticConfig |
No documentation for this element.
|
| GetLinguisticConfigByVersion |
Interface for every action specific to a given applied configuration version
|
| HierarchicalVocabularyClassifier |
VocabularyClassifier classified a whole document per the existing annotations
on selected Document chunks, it uses a Bayesian classifier. |
| IdentityMatcher |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| JapaneseTokenizer |
When set in the configuration, tokenizes Japanese documents.
|
| JapaneseWordFinder |
Performs words detection for Japanese.
Use with a Standard tokenizer. |
| KeepFirst |
Selects the first N occurrences or values of an annotation and remove all others
|
| KeepLeftMostLongest |
When several annotations overlap, keeps the leftmost (removes all others); if there are several leftmost annotations, then keep the longest ones.
For example, for 5 tokens "tow truck driver license requirements" and 3 annotations on "tow truck driver", "truck driver license requirements" and "license requirements" with the same tag, keeps the annotations on "tow truck driver" and "license requirements". |
| KeepLongestLeftMost |
When several annotations overlap, keeps the longest (removes all others); if there are several longest annotations, then keep the leftmost ones.
For example, for 5 tokens "tow truck driver license requirements" and 3 annotations on "tow truck driver", "truck driver license requirements" and "license requirements" with the same tag, keeps the annotation on "truck driver license requirements" and removes the other two. |
| LangDetectMapping |
Maps unicode range to a default language for its automatic atribution
|
| LanguageDetector |
Detect languages of document; this processor can detect the language of small
sentences like "this is a small test" and handle multi-language documents. |
| Lemmatizer |
Produces lemmas for each noun and adjective in the document contexts.
|
| LinguisticConfig |
No documentation for this element.
|
| MLNamedEntities |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| Modifiable |
No documentation for this element.
|
| MOTConfig |
No documentation for this element.
|
| NamedEntitiesEntry |
No documentation for this element.
|
| NamedEntitiesMatcher |
A NamedEntitesMatcher detects 'named entities' (People, Organizations, Places)
in the textual content of the DocumentChunks. |
| NamedEntitiesWhiteList |
No documentation for this element.
|
| Negation |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| NGram |
The NGram processor annotates each sequence of minLength-maxLength words with a 'ngram' annotation.
|
| Normalizer |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| NormalizerCharOverride |
Introduces custom normalization rule
|
| NormalizerConfig |
No documentation for this element.
|
| NormalizerIndexLower |
The list of words to index in lowercase instead of normalized form.
|
| NorwegianDisagglutiner |
This class performs disagglutinations for Norwegian.
Use with a Standard tokenizer. |
| ObjectFactory | |
| OntologyMatcher |
An OntologyMatcher detects concepts defined in an ontology
in the textual content of the Document Chunks. Typically, an ontology contains a list of business terms to be detected. |
| PartOfSpeechTagger |
A PartOfSpeechTagger detects part of speech for each word
in the text of Document Chunks. |
| Phonetizer |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| PrettyPrinter |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| Proximity |
Annotates pieces of text where a number of annotations appear close to each other
|
| ProximityElement |
Proximity processor configuration element
|
| RegexpMatcher |
Matches a set of Perl-5 regular expressions, possibly capturing subparts of matches.
Use it for information extraction based on the text form like identifiers, emails or dates. |
| RelatedTerms |
Extracts all possible related terms.
Only one instance of this processor may exist per input context. |
| RelatedTermsEntry |
No documentation for this element.
|
| RelatedTermsWhiteList |
No documentation for this element.
|
| Remove |
Removes the specified annotations, possibly when some condition is met
|
| RulesMatcher |
A RuleMatcher detects applies a rule engine
on the textual content of the DocumentChunks. The rules are defined in a separate XML 'resourceFile', and are a combination of regular expressions, word matching and Boolean operators over content. Please refer to the CloudView Configuration Reference for details. |
| SelectByContexts |
Selects annotations appearing in the first context of a list sorted by decreasing priority.
For example, selecting an annotation from (title, text) will lookup title context and then, if the annotation is not found, text context. |
| SelectMostFrequentAnnotation |
Selects the most frequent annotation and annotates the document with it
|
| SelectMostFrequentValue |
Selects the N most frequent values of a given annotation and annotates the document with them
|
| SemanticExtractor |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SemanticProcessor |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SentenceFinder |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SentimentAnalyzer |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SetLinguisticConfig |
No documentation for this element.
|
| SimHash |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SnowballStemmer |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SpellCheckBlackList |
No documentation for this element.
|
| SpellCheckEntry |
No documentation for this element.
|
| SpellChecker |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| SpellCheckParameters |
No documentation for this element.
|
| SpellCheckWhiteList |
No documentation for this element.
|
| SQI |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| StandardTokenizer |
Sets a specific configuration for the standard tokenizer.
|
| StandardTokenizer.CharOverrides | |
| StandardTokenizer.PatternOverrides | |
| StandardTokenizerOverride |
No documentation for this element.
|
| StandardTokenizerPatternOverride |
No documentation for this element.
|
| SuggestBuildConfig |
Suggest build options
|
| TokenizationConfig |
How to tokenize documents, ie split the input strings in tokens.
|
| Tokenizer |
No documentation for this element.
|
| TokenizerPlugin |
No documentation for this element.
|
| URLRemover |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
| VocabularyClassifier |
VocabularyClassifier classified a whole document per the existing annotations
on selected Document chunks, it uses a Bayesian classifier. |
| WhiteList |
No documentation for this element.
|
| WordDictionary |
A SemanticProcessor applies semantic processing on the textual content
of the DocumentChunks. A Semantic Processor creates SemanticAnnotations on tokens. These SemanticAnnotations can then be used in the Mapping. |
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