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What is Rosette?

A cutting-edge and adaptable platform aimed at text analysis and exploration, it meets the stringent requirements of text analytics applications while delivering both high accuracy and swift performance. This multifaceted system provides an outstanding basis for a wide range of natural language processing applications. It integrates fundamental text analytics techniques to get data ready for thorough investigation. Equipped with specialized tools that accommodate different languages, it streamlines processes such as tokenization, part-of-speech tagging, and lemmatization, while also supporting readings in Chinese and Japanese. Each language, including English, presents distinct challenges for search technologies to produce relevant and precise results. Rosette® Base Linguistics (RBL) enables enterprise solutions to effectively search or analyze text in various languages by providing a thorough array of linguistic services. By enhancing the original text in its native language, RBL boosts both the speed and accuracy of natural language processing, leading to improved outcomes. This holistic approach guarantees that users can confidently and effortlessly navigate through intricate linguistic environments, making it a valuable resource for any text analysis endeavor. Furthermore, its ability to adapt to emerging language trends ensures continued relevance in the ever-evolving field of text analytics.

What is RogTCS?

RogTCS is a cutting-edge text analysis tool that enables quick and automated evaluation of open-ended survey questions, all in a user-friendly format. The acronym TCS represents “Text, Cluster, Sentiment,” highlighting the software's operational approach: it swiftly examines survey responses to open text inquiries without the need for manual coding or prior processing. This tool focuses on pinpointing significant themes and assessing sentiment, allowing for the identification of whether statements express positive or negative feelings. The results are presented in a clear format, such as a semantic map or a comprehensive table. Consequently, it allows users to easily harness qualitative insights from quantitative market feedback in a fully automated manner, irrespective of the data volume. RogTCS effectively mitigates the challenging and costly process of manually analyzing large datasets derived from open text responses. This innovative solution not only boosts efficiency but also significantly cuts costs. Furthermore, with RogTCS, you can trust that you will achieve the highest degree of consistency and quality in your data analysis, thereby enhancing decision-making capabilities. By incorporating this tool into your workflow, you can fundamentally transform the way you understand data and gain insights into the market landscape, ultimately leading to more informed strategies and actions.

Media

Media

Integrations Supported

Quickwork
TAS Insight Engine

Integrations Supported

Quickwork
TAS Insight Engine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Basis Technology

Company Location

United States

Company Website

www.basistech.com

Company Facts

Organization Name

Rogator AG

Date Founded

1999

Company Location

Germany

Company Website

www.rogator.de/en/software/text-analysis-software/

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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