Azure Text AnalyticsMicrosoft
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Spectrum QualityPrecisely
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Related Products
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About
Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.
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About
Extract, normalize, and standardize your data across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Precisely applies supervised machine learning neural network-based techniques to understand the structure and variations of different types of information and parses data automatically. Spectrum Quality is ideally suited for global client bases that require multi-level data standardization and transliteration for multiple languages and culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing enables information extraction from any natural language input text and assigns categories to unstructured text. Using pre-trained models and machine learning based algorithms, you can extract entities and further train and customize your models to define specific entities of any domain or type.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses looking for an AI service to uncover insights like sentiment, entities, and key phrases in unstructured text
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Audience
Companies that want to ensure your data is accurate, valid and complete to deliver the trusted data that fuels customer understanding and engagement
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
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Company InformationPrecisely
Founded: 1968
United States
www.precisely.com/product/precisely-spectrum-quality/spectrum-quality
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Categories |
Categories |
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Natural Language Processing Features
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
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Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
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