Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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Nirveda Cognition
Make Smarter, Faster & More Informed Decisions. Enterprise Document Intelligence Platform to turn data into Actionable Insights. Our versatile platform uses cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate relevant, timely, and accurate information from your documents. The solution is delivered as a service to lower the cost of ownership and accelerate time to value. How It Works. CLASSIFY. Ingest structured, semi-structured, or unstructured documents. Identify and classify documents based on semantic understanding of language and visual cues. Extract. Extracts words, short phrases, and sections of text from printed, handwritten, and tabular data. Detects the presence of a signature or page annotation. Easily review and make corrections to the extracted data. AI uses human corrections to learn and improve. Enrich. Customizable data verification, validation, standardization and normalization.
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Azure Text Analytics
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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CatBase
The most flexible data publishing solution for producing catalogs, price lists, directories - or any type of publication that's based on data from a database or spreadsheet.
Manage your catalog content using completely user-definable tables and fields (attributes). Publish the data in the many different ways: as a catalogue, price list, or directory; as an XML file or Excel spreadsheet; as a csv or tab-delimited text file; PDF or Microsoft Word document; or update another database such as MySql or SqlServer.
You can design any number of different publishing formats. From the same set of data, produce catalogs or price lists in different styles, or including different data, for different customers, markets, or territories. Include any number of pictures. Set up Rules to determine what to include or omit, or how to style the data, according to criteria you define.
Supports all languages, including Arabic, Chinese, Japanese, Korean, Russian, etc.
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