Sentiment Analysis Services For Your Project
Refine Your Business Strategy with User Sentiment
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Our Services
Real-Time Sentiment Monitoring
Achieve an end-to-end view into your consumer preferences with our dynamic emotion tracking solutions. Detect consumer mood changes, prevent churns, and be the leader of proactive customer service.
- Emotion AI model development
- Social media listening tools
- Smart customer service solutions
- ChatGPT conversational solutions
Intent Classification
Know exactly what your customers are up to with our user intent analytics solutions. Track and classify queries, comments, emails, and other data to reduce the time and costs of customer service.
- Custom intent classifier development
- Sales and marketing campaign analysis
- Conversational AI applications
Text Mining and Information Extraction
Gain knowledge from unstructured content with and extract valuable information from all kinds of data. Make the most out of your emails, scripts, documents, and conversations – with less effort and quicker turnarounds.
- Voice-of-the customer solutions
- Document analysis (CMS, RPA, ERP, and others)
- Text analytics for call centers
Full-Cycle NLP Software Development
Transform your business requirements into full-fledged smart solutions based on Natural Language Processing. Uncover insights buried in your data and transform opportunities into great products.
- Topic modeling solutions
- Text categorization
- User feedback analysis
Adopt Sentiment Tracking to Stay on the Edge
Track Sentiment Across Channels
Extract, analyze, and act on sentiments across multiple touch points. Make sure your product resonates with the consumers, score big on customer experience, and rely on real-user feedback to inform your strategy.
Plan Product Improvements
Take the pulse of public opinion and consumer sentiment data to analyze your latest product release. Collate user insights to identify gaps, add much-awaited features, and improve user experience.
Prioritize Customer Service Issues
Identify critical customer issues and put top-priority service tickets at the head of the queue. Enable ChatGPT solutions to avoid escalations when consumer complaints arrive - based on users’ real-time feelings.
Monitor Brand Reputation
Let our sentiment analysis company help you establish a strong brand image through NLP and machine learning. Use sentiment data to spot negative mentions, react swiftly to alerts, and effectively manage your online reputation.
Sentiment Analysis for Brand Building
Monitor Your Brand’s Social Media
Make a health check of public opinion about your brand and verify if it’s in the green or the red zone. We build custom opinion tracking solutions that run opinion mining on unstructured data from the brand's social media channels.
Focus on The Voice of the Customer (VoC)
Gain insight into consumer expectations, preferences, and pain points to gain competitive intelligence. Our VoC solutions analyze and derive insight from all types of VoC data using a variety of analytical and visualization techniques.
Get Insights from Product Analysis
Convert negative comments into positive interactions and keep customers satisfied during product changes. Uncover gaps between your product and the competition and predict your customers' response to new products.
Track Your Competitors
Benchmark the strengths and weaknesses of your brand against competitors and detect reputation risks before they break loose. Lift your business ranking, get a better handle on your competition, and position your products strategically.
Sentiment Analysis Steps
Capture the Whole Picture with Sentiment Analytics
Get Live InsightsUse our custom sentiment analytics solutions to recognize emotions behind texts across the web and integrate customer interaction into a single source of truth.
Provide Better ServicesGain a clear picture of the level of customer happiness, close the gap between your company and your customers, and maintain high service quality.
Reduce Customer ChurnGather unsolicited feedback to surface what’s truly top of mind for your clients, identify frustrated customers, and respond with the right retention strategy.
Detect Changes in Customer OpinionDetect drops and rises in optimism about your brand, monitor recurring trends, and align messages to consumer mindsets to build a positive brand image.
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Your Trusted Sentiment Analysis Company
Customizable Solutions
Our solutions are tailored to fit the needs of our clients and overcome the challenges of their domain.
Scalable Results
We base your solutions on scalable architectures to let them grow in lockstep with your business.
State-of-the-Art Models
Our sentiment analysis services are based on cutting-edge AI algorithms to deliver results with high accuracy.
Your Certified NLP Partner
Trusted by Innovative Companies
Let Our Clients Do the Talking
Sentiment Analysis Use Cases
FAQ
- What is sentiment analytics and why is it necessary for gauging customer loyalty?
Sentiment analysis as a service allows companies to look into the customer sentiment expressed through text or audio data. The technology enables individuals to identify, extract, quantify, and analyze subjective information as well as act on the subjective data to boost customer loyalty.
Businesses can improve consumer satisfaction by analyzing how well the products or services click with the user’s needs. Companies can also employ the technology to predict the success of a new product or service.
- What is customer sentiment data?
This type of data gives you an overall image of your customers’ emotions and opinions based on engaging with your brand at a specific moment. By getting a better handle on this data, you can measure customer satisfaction, identify pain points, and track opinions over time.
- What methods can be used for sentiment analytics?
The technology is based on the latest advancements of machine learning and NLP techniques. Sentiment analysis as a service can also be divided into fine-grained, aspect-based, emotion, and intent-based analysis. The tech stack is different for each type.
- How sentiment analytics is used in marketing?
The technology has been proven to be an effective tool for improving customer experience, driving sales and increasing revenue.
Some of the most popular use cases in marketing include:
- Brand reputation monitoring
- Audience research
- Marketing/PR effort tracking
- Influencer marketing
- What is the best model for sentiment analytics?
There is no single best model for this technology. Instead, there are a variety of methods that can be used to build a sentiment analysis model with high accuracy. Some of the most popular methods for building sentiment analytics models include support vector machines, Naive Bayes classifiers, and recurrent neural networks. Our ML engineers select a custom set of technologies that fit your data specs.
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