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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 DiscoverText?

DiscoverText combines collaborative text analytics for both machine learning and human input, offering a comprehensive suite of multilingual text mining and data science functionalities alongside human annotation and machine-learning features. Our cloud-based software tools empower users to efficiently and precisely analyze extensive text datasets, making it easier for customers to organize unstructured text typically encountered in market research. In addition, our platform enables users to incorporate relevant metadata from various sources such as customer feedback systems, CRMs, and chat interactions. Learn why we are the top choice in text and metadata analysis, as well as social network analysis support, with a trusted reputation among numerous academic research groups. With the capability to construct machine-learning classifiers in mere hours or even minutes through crowdsourcing, our service stands out in the industry. Moreover, we offer an API and facilitate seamless technical integrations with platforms like SurveyMonkey and Twitter, enhancing the overall user experience. Our dedication to innovation and customer satisfaction continues to drive our success.

Media

Media

Integrations Supported

Quickwork
SurveyMonkey
TAS Insight Engine
WordPress
X (Twitter)

Integrations Supported

Quickwork
SurveyMonkey
TAS Insight Engine
WordPress
X (Twitter)

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

Texifter

Date Founded

2009

Company Location

United States

Company Website

discovertext.com

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

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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