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Description

Amazon Comprehend is an innovative natural language processing (NLP) tool that employs machine learning techniques to extract valuable insights and connections from text without requiring any prior machine learning knowledge. Your unstructured data holds a wealth of possibilities, with sources like customer emails, support tickets, product reviews, social media posts, and even advertising content offering critical insights into customer sentiments that can drive your business forward. The challenge lies in how to effectively tap into this rich resource. Fortunately, machine learning excels at pinpointing specific items of interest within extensive text datasets—such as identifying company names in analyst reports—and can also discern the underlying sentiments in language, whether that involves recognizing negative reviews or acknowledging positive interactions with customer service representatives, all at an impressive scale. By leveraging Amazon Comprehend, you can harness the power of machine learning to reveal the insights and relationships embedded within your unstructured data, empowering your organization to make more informed decisions.

Description

Our international team of analysts and consultants consists of the finest experts and cutting-edge data environments available. In every project, we adopt a unique approach to identifying and addressing challenges. We prioritize deep insights over mere information and emphasize actionable results over simple recommendations. Enhance your analytical perspective to uncover the concealed narratives within customer data. With a global reach, pioneering methodologies, and exclusive platforms, we enable you to discover significant concepts that yield substantial business benefits. Leverage advanced techniques to derive insights from various unstructured data sources, such as recordings, surveys, chats, emails, and messages. We are at the forefront of the industry in utilizing speech analysis to track interactions and streamline quality assurance processes. Our analysts utilize proprietary software to access valuable taxonomies, sentiments, and insights efficiently. It's time to rethink the ways you gather, manage, and analyze customer engagement data. By doing so, we will assist you in understanding who your customers are, the reasons behind their interactions, and how you can seamlessly integrate analytics into your strategic decision-making processes for maximum impact.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Datasaur
FormKiQ
Mantium
PubNub
Qlik Staige
Quickwork
iText
n8n

Integrations

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Datasaur
FormKiQ
Mantium
PubNub
Qlik Staige
Quickwork
iText
n8n

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/comprehend/

Vendor Details

Company Name

Convergys

Website

www.convergys.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

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Alternatives

Alternatives

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