Audience
Businesses looking for a software solution to keep track of their documents and find similar or related information
About Biz7
Different businesses operations often create a high number of documents, but often have trouble to keep track of everything and find similar or related information to each document, context or phrase. Luma7 solves these issues by generating links automatically between documents, Independent of keywords, metadata or tags. Our algorithms are able to find all possible relations between documents by processing all the text on each and understanding the underlying connections. Keeping track of all the documents produced, links across multiple sources of documentation, fully automated link creation between multiple documents, concept-to-concept relations, concept-to-document relations. Automated tagging of each document, including related keywords not present in the text, automated processes of connections across all the archive of articles, entity recognition across documents, support in several languages, and more.
Integrations
No integrations listed.
Company Information
Luma7
Switzerland
luma7.com/biz/biz7.php
Videos and Screen Captures
TextRazor
The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.
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Leximancer
Powering your analysis. Leximancer automatically analyses your text documents to identify the high level concepts, delivering the key ideas and actionable insights you need with powerful models, interactive visualizations and data exports. Leximancer supports processing text from a number of different formats and languages. Single or large document collections supported. go beyond text, find meaning. Text is more than a collection of words. Text tells a story. Ideas, concepts, and relationships are buried in the words. Identifying the concepts quickly and effectively is key to taking advantage of what text is really saying. Customer surveys, published articles, interview transcripts, long reports, web pages, feedback forms, tweets, and more. Find out what is really being said. Key Leximancer Features. Text Modelling. Minimal set-up. No training sets or key term dictionaries. No human bias in analysis Finds Concepts in Context, not keywords. Useful results fast.
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Professional Document Analyzer
The redesigned Professional Document Analyzer leverages AI Natural Language Processing (NLP) for enhanced content analysis and advanced readability. Our recent redesign simplifies the user experience (UX) with a common user interface (UI), delivers enhanced settings for creation and maintenance, and provides enhanced flexibility and reduced complexity to empower both casual users and super users. Analyzes (parse / shred) your RFPs for words like Must, Shall, Will and your custom keywords/phrases – Supports 6 File Types. Create a Compliance Matrix with 2 clicks in an Excel template or MS Word document. Analysis Results panel – Manipulate your analysis results by splitting, combining, annotating, and filtering. Share your Compliance Matrix and reports with 2 clicks.
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VizRefra
Analyze text with viztext 2D & 3D mapping text analysis topic modeling, sentiment analysis, word cloud. A unique machine learning algorithm to visualize topics in the text you want to discover. Text analysis provides topic modelling with navigation through 2D/ 3D maps. Uses referential framework to make logical relational topic analysis with zoom-in and zoom-out features on 2D and 3D maps including colorful word cloud. Analysis on the level of sentiment in the text with pie chart on ratio between positive, negative and neutral. Graphs top entities in the text with percentage as well as highlights in the text with entity type: government, person, organization, etc. Simple drag and drop, upload text file or paste text from the web or social media posts or enter HTTP address for a website that contains text article you like to analyze.
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Product Details
Platforms Supported
SaaS
Training
Documentation
In Person
Support
Online
Biz7 Product Features
Text Mining
Tagging
Text Analysis
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Taxonomy Classification
Topic Clustering