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Average Ratings 0 Ratings

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ease
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design
support

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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

SentiSum harnesses the power of machine learning to meticulously categorize and tag various customer communication channels with unmatched precision. By utilizing our customizable insights dashboard, you can transform your customer's feedback into actionable and readily available information. SentiSum is engineered with machine-learning-driven natural language processing to ensure a high level of accuracy in understanding and tagging customer interactions. You can rely on the tags generated by SentiSum to support significant strategic transformations within your organization. Gain detailed, actionable insights from customer discussions, enabling you to route and prioritize support tickets based on their sentiment and subject matter. With SentiSum, you can analyze the topics and sentiments of all CSAT and NPS surveys, ensuring comprehensive coverage. Moreover, it can automatically convert negative reviews or social media comments into actionable tickets. SentiSum not only enhances the accuracy and detail of your ticket tags but also translates those tags into easily accessible insights. This capability empowers you to substantiate new initiatives with solid quantitative evidence, increasing the likelihood of making a positive impact on customer experiences. Furthermore, by automating the tagging process, SentiSum streamlines contact reporting for greater efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
AWS Lambda
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Camunda
Datasaur
Freshdesk
Instagram
Intercom
Mantium
PubNub
Qlik Staige
Quickwork
SurveyMonkey Apply
Tripadvisor
Zendesk
Zonka Feedback
iText
n8n

Integrations

AWS App Mesh
AWS Lambda
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Camunda
Datasaur
Freshdesk
Instagram
Intercom
Mantium
PubNub
Qlik Staige
Quickwork
SurveyMonkey Apply
Tripadvisor
Zendesk
Zonka Feedback
iText
n8n

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1,051.76 per month
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

SentiSum

Country

United Kingdom

Website

www.sentisum.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 Feedback

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Alternatives

Alternatives

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