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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.

Description

WordStat is a user-friendly and versatile text analysis application designed to facilitate the extraction of themes and trends through text mining tools, as well as to provide meticulous measurement capabilities with advanced quantitative content analysis features. It serves anyone in need of swiftly extracting and analyzing large volumes of documents for valuable insights. This software can be applied in various contexts, including the evaluation of open-ended survey responses, enhancing business intelligence, analyzing news coverage, detecting fraud, and much more. With its seamless integration with SimStat, a statistical data analysis application, QDA Miner for qualitative data analysis, and Stata, a comprehensive statistical software from StataCorp, WordStat offers unparalleled flexibility in correlating text analysis with structured data, encompassing both numerical and categorical information. Additionally, its adaptable nature makes it suitable for diverse industries and research fields, allowing users to tackle different analytical challenges effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SurveyMonkey Enterprise

Integrations

SurveyMonkey Enterprise

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

Gavagai

Founded

2009

Country

Sweden

Website

www.gavagai.io

Vendor Details

Company Name

Provalis Research

Founded

1989

Country

Canada

Website

provalisresearch.com

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

Product 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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