With so much omnichannel data coming in, how can you easily understand the trends, themes, and critical issues in your data? Pearl-Plaza’s text analytics, powered by our Lexalytics acquisition, combines 19+ years of expertise in artificial intelligence, machine learning, and natural language processing to surface those crucial insights from structured and unstructured text, so people at every level of the organization are confident in their next decision.
>100 Machine Learning Models
Billions of Training Terms
Millions of Dictionary Terms
Deeply Customizable
Easily Integrated With Incoming and Outgoing Data Streams
Transparency–No “Black Box”
Since switching from a rules-based model to Pearl-Plaza, we’ve seen a significant uptick in tagging accuracy.
– Tyler Saxey, Director of Customer Experience, Footlocker
Omnichannel Listening
Connect All Your Feedback Across Channels
When feedback is analyzed in silos, you miss critical context that can make or break your business. Connect data from surveys, social reviews, and call scripts all the way to legislation, regulation, and market reports.
Natural Language Understanding
Understand the Meaning in Your Text
Our award-winning NLP engine does the work of transforming your incoming text data into meaningful features so you understand who’s talking, what they’re talking about, and how they feel about those topics.
Learn MoreEmotion, Effort, and Intent
Go Beyond Sentiment
Determine the expressed intent, perceived effort, and voiced emotion hidden in feedback so you can take action to decrease churn, ease friction points in customer journeys, and close the feedback loop.
Learn MoreNamed Entity Extraction
Improve Your Understanding of the Business Landscape
Discover entities and relationships you didn’t know about as our machine learning identifies people, places, dates, companies, products, jobs, titles, currency, @handles, #hashtags, and more. For even more specific insights, add your own custom entity lists.
Learn MoreCategorization
Find and Focus on What You Care About
Categorization uses a blend of machine learning and queries to sort through incoming responses and places each into meaningful buckets to surface insights and take appropriate actions.
Learn More
CUSTOMIZATION
Solve Problems Specific to Your Business
Our expert text analytics and AI services team can fine-tune your systems by adding specific entities, tuning sentiment, improving categorization and topic detection, and will even train ML models tailored to your situation.
The Right Tool
Quantitative + Qualitative for Superior Insights
We use the best method for the job, whether that’s machine learning such as neural networks and deep learning, or linear regression for key driver analysis and fraud detection. All are focused on surfacing crucial insights from your masses of data.
See ROI in Half the Time
Pearl-Plaza’s integrated CX approach increases customer lifetime value and bottom line performance in just 12 months, significantly faster than the industry average of 25 months!
