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What is Dandelion API?
Identify mentions of places, people, brands, and events across a variety of documents and social media channels. Seamlessly obtain additional details about these entities. Organize multilingual content into pre-established categories or develop a custom classification framework in a matter of minutes. Evaluate the sentiment expressed in short texts, like product reviews, determining if it is positive, negative, or neutral. Automatically detect important, contextually relevant concepts and key phrases within articles and social media posts. Compare two texts to analyze their syntactic and semantic similarity. Ascertain when two pieces of text relate to the same subject matter. Extract refined textual content from sources such as newspapers and blogs, removing extraneous material and advertisements to present the complete article along with its accompanying images. This method not only improves the readability of the extracted text but also highlights the most critical information, making it easier for users to grasp essential insights. By streamlining this process, users can focus more on content analysis rather than sifting through irrelevant clutter.
What is Azure Text Analytics?
Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.
API Availability
Has API
API Availability
Has API
Pricing Information
$49 per month
Free Version
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
SpazioDati
Date Founded
2007
Company Location
Italy
Company Website
dandelion.eu/
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Categories and Features
Artificial Intelligence (AI) APIs
Not specified
Data Extraction
Not specified
Sentiment Analysis
Not specified
Text Mining
Not specified
Categories and Features
Clinical Documentation
Not specified
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Sentiment Analysis
Not specified
Text Analytics
Not specified