Top Applications of
Sentiment Analysis & Text Analytics
Sentiment analysis and natural language processing can reveal opportunities to improve customer experiences, reduce employee turnover, build better products, and more. The most common applications of natural language processing fall into three broad categories: Social Media Monitoring, Customer Experience Management and Voice of Customer, and People Analytics and Voice of Employee.
Top companies trust Lexalytics
Solve regulatory compliance problems that involve complex text documents.
Healthcare, pharmaceutical and financial services companies face heavy regulatory compliance burdens. Financial firms, for example, dedicate 10-15% of their workforce and spend a combined $270 billion on regulatory compliance annually. These companies are flocking to artificial intelligence for time savings and cost reductions.
But traditional data analytics techniques can’t handle regulatory, legal and medical documents. Off-the-shelf tools lack critical supporting technology to parse the structure and content of these files. As a result, they can leave behind valuable data or overlook the important context that compliance professionals rely on.
Lexalytics can identify, extract and understand all of this data. Our experienced professional services team uses natural language processing, semi-structured data parsing, and machine learning/AI to build semi-custom applications that solve specific compliance challenges for our clients. By working through a staged Proof of Concept approach, we deliver results faster, for less cost and with less risk. View Solution Brief
Robotic Process Automation
Solve more and broader use cases involving text data in all its forms.
Robotic Process Automation (RPA) vendors must meet increasing customer demands for larger, transformational RPA and deeper analytics integrations. But many firms are lagging behind in supporting trending text analytics use cases. Others have stronger text analytics but lack capabilities with “unstructured document use cases” involving PDFs. And still others are having trouble fitting text analytics and natural language processing components into their larger environment.
Lexalytics helps you solve these problems with easy-to-integrate text analytics solutions that are stable, scalable, and completely customizable. Add our tools to your own RPA platform to quickly address outstanding text analytics use cases, deliver better analytics capabilities and differentiate your offerings in the rapidly evolving RPA marketplace.
We also offer NLP solutions for data extraction from semi-structured documents, useful for regulatory compliance and legal document review. Don’t see your NLP application here? We can probably customize our tools to fit your needs. Contact us to see how we can help.
Social Media Monitoring (SMM)
Understand social data like never before.
Social media is a goldmine of consumer stories and opinion data. But social posts are full of complex abbreviations, acronyms, and emoticons. Many social analytics platforms can’t handle those inconsistencies. The sheer volume is a problem, too. Some social media monitoring tools struggle to scale. Meanwhile, data analysts waste valuable hours parsing mountains of social data by hand.
Lexalytics uses natural language processing (NLP) and machine learning to transform mountains of hashtags, slang, and poor grammar into structured data and useful insights. Data analysts upload, process and analyze mountains of social text data in our platform to understand the conversations surrounding products, brands, people and services. Technology companies integrate our NLP APIs into their social listening product to deliver better insights to their own customers. View Case Study