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.
- SarcasmDetection
Represents a specialized class for analyzing sarcastic tones 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
A dedicated class 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.
- 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 built-in training datasets available for fine-tuning language models (LLMs) for sentiment analysis using LMKit.