Consumer Sentiment Analysis

Make Your Reputation Your Most Valuable Tool

88% of consumers trust online reviews as much as personal recommendations. Then don’t ignore consumer sentiment. Essid Solutions’ top priority is to arm you with a unique custom solution to help excel at building your online brand reputation.
Customers have made social media platforms their major venue for sharing opinions. And that is the largest source of consumer sentiment data that can aid your business in designing breakthrough products and better service provision.

Tap into Machine Learning to Analyze Customer Sentiments

Consumer sentiment analysis is a critical component of social listening. It lets you make an instant health check of public opinion about your brand and verify if it is in the green or the red zone.

We help organizations of different sizes tap into the capabilities of machine learning for open-text responses and brand conversations to identify and monitor how optimistic customers are about a brand.

You can also use our solutions for benchmarking the strengths and weaknesses of your brand against competitors and detecting reputation risks before they break loose.

“Voice of the Customer” Solutions Development by Essid Solutions

Consumer sentiment analysis solutions by Essid Solutions combines sophisticated linguistic algorithms and machine learning. Their use will help you to determine whether a piece of writing is positive, negative, or neutral. And they will show you whether a consumer happy, sad, distressed, satisfied, etc.

The value for a business is in the solution application options to discover how the target audience feels about a particular product, trend, topic, brand, and more. That can save companies a lot of time and resources otherwise spent on routine research and cold calling.

Opportunities that You Can GetUsing our customer sentiment analysis solutions, you can take the following opportunities:

monitor keywords

Monitor Specific Keywords across the Social Web


Filter out Irrelevant Content and Information

topic and messages

Topics and Sentiment of Customer Messages

manage alerts

React Quickly to Any Alerts about Products/ Services

How You Can Use Our Solution

Our clients use our sentiment analysis solutions within their organizations to facilitate such tasks as:

  • Monitoring online product reviews, emails, tweets, social media posts, and other types of text data
  • Monitor customer feedback and provide quick response
  • Predict customer churn
  • Deliver products and services the right time to the right customer
  • Analyze employee sentiment to resolve issues before escalation

Key Benefits

live insights

Get Live Insights

Use our custom sentiment analysis solutions to recognize emotions behind texts across the web and measure customer satisfaction.

get better services

Provide Better Services

Gain a clear picture of the level of customer happiness. Improve and maintain high service quality that you ensure to your customers.

customer churn

Reduce Customer Churn

Identify frustrated customers as quickly as possible. You will be able to provide first-rate servicing and calm tense situations to eventually retain customers.

detect changes in opinions

Detect Changes in Opinions

Detect drops and rises in optimism about your brand. Monitor trends and see the way your customers feel when turning to you.

industriesHere’s the myriad of industries our data architecture consultants have brought the depth of data architecture development & analytics.

Marketing and Advertising

Marketing & Advertising

ecommerce and retail

E-commerce & Retail

logistic and supply chain

Logistics & Supply Chain

game and entertainment

Game & Entertainment


Finance & Banking




Healthcare & Pharma

Sports and Wellness

Sports & Wellness

we guarantee

reduced costs

Reduce costs

increase profitability

Increased profitability

improve effiency

Improved efficiency

better decisions

Better decisions

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how can we help you?

Contact us at the Consulting WP office nearest to you or submit a business inquiry online.


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