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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.

What is Dcipher Analytics?

Dcipher Analytics presents an advanced, no-code SaaS text analytics platform aimed at enabling professionals without a technical background to harness the power of data. This state-of-the-art platform significantly accelerates the process by which analysts extract insights, train models, and streamline their workflows. Central to Dcipher Analytics is its unique architecture and proprietary query language meticulously crafted to manage complex nested data structures, including text. As a leading solution for tapping into the potential of unstructured text data, Dcipher Analytics distinguishes itself in the competitive landscape. Whether you are searching for a flexible tool, an integration API, or actionable insights, this platform serves as the perfect solution. It empowers users to analyze various customer interactions—such as emails, reviews, and chat logs—allowing for the identification of issues and improvements in customer satisfaction. Moreover, it facilitates the development of more relevant FAQs, accelerates chatbot training, and enables the mining of social media to uncover consumer preferences and trends, thereby effectively supporting marketing and product development efforts. In essence, Dcipher Analytics revolutionizes how businesses utilize text data, providing them with a strategic advantage in decision-making processes. This transformative approach not only enhances operational efficiency but also fosters a deeper understanding of customer needs and market dynamics.

Media

Media

Integrations Supported

SurveyMonkey
WordPress
X (Twitter)

Integrations Supported

SurveyMonkey
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

Texifter

Date Founded

2009

Company Location

United States

Company Website

discovertext.com

Company Facts

Organization Name

Dcipher Analytics

Company Location

United States

Company Website

www.dcipheranalytics.com

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

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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