rubitext
rubitext combines the power of AI, ML, and Natural Language Processing to identify, mine, parse, categorize, cluster, and model textual data.
rubitext has a built-in powerful engine that simplifies word frequency analysis, pattern recognition, tagging/annotation, information extraction, link and association analysis and predictions to extract deeper insights.
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Rubiscape Spring '20
New Features Platform & Studio 'AutoML' is available for user. User can use this feature through wizard and through workbook. Overall stabilization of the platform Rubisight Introducing a new module Rubisight on the Rubiscape platform. Rubisight is a ...rubiscape Concepts
Code Fusion Code fusion in rubiscape gives an ingenious option to the users to build their models in programming languages such as JAVA, R, or Python and integrate them into rubiscape. Code fusion makes the rubiscape platform more customizable and ...Rubiscape Spring '21
New Features Studio & Rubisight Algorithms added in RubiText Centroid based clustering Connectivity based clustering Density based clustering Incremental learning Support for background formatting for text widget Support for background formatting for ...rubiscape Platform Architecture
The three phases of data analysis are input, insight, and impact. These are explained below. Input: Inputs are nothing but different sources of data. These include various location data, transactional databases, social media data, mobile application ...Performing Textual Analysis
What is Textual Analysis Textual analysis is an automated process to interpret textual content and derive meaningful data from it. It is a qualitative analysis performed using AI-powered natural language processing (NLP) tools. These tools help ...