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Access to OpenAI models available via Microsoft Azure Cognitive Services.
The Sentiment Analysis connector provides sentiment labels based on the highest confidence score found by the service at a sentence and document-level.
The expert.ai connector lets you use language data in your RPA process. Using leading AI and NLP, expert.ai understands content in documents and supplies UiPath extractions data needed for automation.
Microsoft's Cognitive Services feature that offers sentiment analysis of text.
The following package is a Solution Accelerator that can be used as a starting point for FAQ Model Consumption, more specifically for Semantic and Sentiment Analysis models in Support automation.
Use fuzzy search or generate images with the help of an AI ML model!
Activity which helps in matching words similar to pronunciations
Cosine similarity is a metric used to determine how similar the documents are irrespective of their size
This group of custom activities (String Algorithms) serve the purpose of reducing development time for the user intending to implement one or more string matching logics in their project.
This activity finds similarity between two texts and returns similarity percentage.
Automate the processing of your inbound texts to take immediate action. Analyze texts at the topic level. Aim for the highest accuracy, 90%, with our multilingual analytics services.
Calculate the similarity of strings, e.g. Aa / Ab = 50%.