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What is Verint Text Analytics?

Unstructured information, including emails, chat messages, and phone notes, can be leveraged to derive valuable insights that enhance your customer experience (CX). By utilizing multichannel analytics, you can gain deeper insights into customers who interact through various platforms. These multichannel customers necessitate a holistic approach to employee and customer analytics across different channels. While voice communication continues to be significant, there is a noticeable shift as consumers increasingly prefer digital avenues such as chat, email, and social media. Incorporating Text Analytics provides a comprehensive evaluation of your customer engagement strategy, ensuring that no aspect is overlooked. This integration ultimately empowers businesses to make data-driven decisions that enhance interactions and foster loyalty.

What is Gavagai?

Our cutting-edge natural language processing technology utilizes artificial intelligence to gather, examine, and present insights from various types of customer communications. This encompasses everything from call transcripts, chat logs, emails, support inquiries, return requests, social media engagements, to surveys, all available in 47 languages. With our Explorer tool, users can swiftly evaluate open-ended text feedback within mere minutes. Furthermore, Explorer is equipped with an API that facilitates the effortless integration of unstructured text data into your business intelligence frameworks. The domain of employee experience is centered on evaluating and pinpointing the factors that enhance employee satisfaction and drive motivation. Our solutions enable organizations to effectively manage, analyze, and interpret large volumes of unstructured natural language information in significantly less time than typical methods. Designed for ease of use, the platform allows you to develop custom bots that cater to your unique business needs without requiring any programming skills. Immediate enhancements in operational efficiency can be realized just minutes after setup. In addition, the Gavagai API offers a comprehensive set of semantic analysis tools supporting 47 languages, granting users instant access to intuitive endpoints. This powerful functionality ensures that organizations can capitalize on insights drawn from their data, thereby improving their decision-making processes and fostering a more engaged workforce. Ultimately, by leveraging these advanced technologies, businesses can not only enhance customer communication but also significantly boost overall productivity and employee engagement.

Media

Media

Integrations Supported

SurveyMonkey Enterprise

Integrations Supported

SurveyMonkey Enterprise

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

Verint

Date Founded

1994

Company Location

United States

Company Website

www.verint.com/text-analytics/

Company Facts

Organization Name

Gavagai

Date Founded

2009

Company Location

Sweden

Company Website

www.gavagai.io

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

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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