Namespace LMKit.TextAnalysis
Namespaces
Classes
- Categorization
Provides functionality to classify content into predefined categories using a language model. This engine supports categorization tasks for both plain text and image attachments.
- EmotionDetection
Represents a specialized class for analyzing emotional tones in text.
It can identify a range of emotions, such as happiness, sadness, anger and fear, among others.
This class is designed to be used in applications where understanding emotional context is crucial, such as in customer feedback analysis, social media monitoring, or mental health assessment tools.
- KeywordExtraction
A class designed to handle keyword extraction tasks. This class provides functionality to extract a specified number of the most important keywords or phrases from a given piece of content, while respecting constraints such as maximum n-gram size.
- KeywordExtraction.KeywordItem
Represents a single extracted keyword item. This is a read-only value container holding a single keyword string.
- NamedEntityRecognition
A class for performing Named Entity Recognition (NER) on input content a Language Model (LM). This class identifies and extracts all occurrences of specified entity types (built‐in or custom) from the provided content, returning each entity verbatim along with its type and optional positional information.
- NamedEntityRecognition.EntityDefinition
Describes one entity type that the extractor should recognize. Supports both built‐in types (via NamedEntityRecognition.NamedEntityType) and fully custom labels.
- NamedEntityRecognition.ExtractedEntity
Represents a single named entity extracted from content, including its definition, canonical value, confidence, and all occurrences (text regions) in the original content.
- PiiExtraction
A class for performing PII extraction on input content using a Language Model (LM). This class identifies and extracts all occurrences of specified PII entity types (built‐in or custom) from the provided content, returning each entity verbatim along with its type and optional positional information.
- PiiExtraction.PiiEntityDefinition
Describes one PII entity type that the extractor should recognize. Supports both built-in PII categories and fully custom labels.
- PiiExtraction.PiiExtractedEntity
Represents a single PII entity extracted from content, including its definition, a canonical text value, confidence, and all occurrences (text regions) in the original content.
- SarcasmDetection
Provides functionality for detecting sarcasm in text. This class is designed for applications where understanding sarcasm context is crucial, such as customer feedback analysis, social media monitoring, or mental health assessment tools.
- SentimentAnalysis
Provides functionality for performing sentiment analysis on plain text, designed to assess and categorize emotional tone.
Enums
- EmotionDetection.EmotionCategory
Enumerates a set of emotion categories for analytical and classification tasks.
- EmotionDetection.TrainingDataset
Enumeration representing the built-in training datasets available for fine-tuning language models (LMs) for sentiment analysis using LMKit.
- NamedEntityRecognition.NamedEntityType
Standard set of entity types for Named‐Entity Extraction/Recognition.
- PiiExtraction.PiiEntityType
Standard set of entity types for PII Extraction/Recognition.
- SarcasmDetection.TrainingDataset
Enumeration representing built-in training datasets available for fine-tuning language models (LMs) for sarcasm detection using LMKit.
- SentimentAnalysis.SentimentCategory
Enumerates various sentiment categories for classification purposes.
- SentimentAnalysis.TrainingDataset
Enumeration representing the built-in training datasets available for fine-tuning language models (LMs) for sentiment analysis using LMKit.
- TextShrinkingStrategy
Defines the strategies available for shrinking text content.