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ease
features
design
support

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Description

RogTCS is an innovative text analysis tool that allows for a rapid and automated assessment of open-ended survey questions, all presented in a straightforward format. The acronym TCS stands for “Text, Cluster, Sentiment,” which encapsulates the operational methodology of the software: it quickly assesses responses to open text queries in surveys without requiring any manual coding or preliminary processing. This analysis focuses on identifying key themes and gauging sentiment, determining whether statements carry a positive or negative tone. The findings are displayed in an easy-to-understand format, such as a semantic map or a detailed table. As a result, you can seamlessly leverage qualitative insights from quantitative market feedback, fully automated, regardless of the volume of data. RogTCS effectively alleviates the burdensome and expensive process of manually analyzing extensive data sets from open text responses. This solution not only enhances efficiency but also reduces costs significantly. Moreover, with RogTCS, you can be assured of obtaining the highest level of consistency and quality in the analysis and application of your data, empowering better decision-making. Ultimately, integrating this tool into your workflow can transform your approach to data comprehension and market insights.

Description

Explore the capabilities of text analytics and NLP software libraries that can be deployed on-premise or integrated seamlessly into your systems. You can incorporate Salience into your enterprise business intelligence framework or even customize it for your own data analytics solutions. With the ability to handle up to 200 tweets per second, Salience efficiently scales from individual cores to extensive data center infrastructures while maintaining a compact memory footprint. Choose from Java, Python, or .NET/C# bindings for user-friendly integration, or opt for the native C/C++ interface to achieve peak performance. Gain comprehensive control over the foundational technology, allowing you to fine-tune every aspect of text analytics and NLP functions, including tokenization, part of speech tagging, sentiment analysis, categorization, and thematic exploration. The platform is designed around a pipeline model consisting of NLP rules and machine learning algorithms, enabling you to pinpoint issues in the process easily. You can modify specific features without affecting the overall system's integrity. Moreover, Salience operates entirely on your own servers while remaining adaptable enough to transfer non-sensitive data to cloud environments, offering both security and versatility for your analytics needs. This flexibility empowers organizations to leverage advanced analytics features while ensuring data privacy and performance efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C
C#
C++
Java
Lexalytics
Python
Semantria

Integrations

.NET
C
C#
C++
Java
Lexalytics
Python
Semantria

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Rogator AG

Founded

1999

Country

Germany

Website

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

Vendor Details

Company Name

Lexalytics

Country

United States

Website

www.lexalytics.com/salience/

Product Features

Data Analysis

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

Product Features

Natural Language Processing

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

Text Mining

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

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