The TextAnalyticsAI class acts as a comprehensive wrapper for language models to provide TextAnalyticsAI API support. Use this integration to leverage advanced text analytics capabilities.
TextAnalytics AI Functions Supportability
| Function | BYO-LLM (Hugging Face) v20.00.00.00 or later |
AWS Bedrock v20.00.00.01 or later |
Azure AI v20.00.00.01 or later |
Google Gemini v20.00.00.01 or later |
NVIDIA NIM v20.00.00.02 or later |
ONNX Embeddings v20.00.00.02 or later |
|---|---|---|---|---|---|---|
| analyze_sentiment() | ||||||
| classify() | ||||||
| detect_language() | ||||||
| embeddings() | ||||||
| extract_key_phrases() | ||||||
| mask_pii() | ||||||
| recognize_entities() | ||||||
| recognize_pii_entities() | ||||||
| summarize() | ||||||
| translate() | ||||||
| sentence_similarity() | ||||||
| ask() |
Function Information
TextAnalyticsAI Example Setup provides the setup required to run the examples included with the following functions. Sample workflows are also available.
After configuring the TextAnalyticsAI object with the preferred large language model, you will be able to execute a variety of text analytics tasks.