Namespace LMKit.TextAnalysis
Classes
- Categorization
A class designed to handle custom classification of plain text content.
- 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, 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.
- 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 (LLMs) for sentiment analysis using LMKit.
- SarcasmDetection.TrainingDataset
Enumeration representing built-in training datasets available for fine-tuning language models (LLMs) 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 (LLMs) for sentiment analysis using LMKit.