Enhance Your Customer Experience With Natural Language Processing (NLP)

Understand Meaning in Context

Be Responsive to Sentiment

Impress Prospects Increase Revenue Improve Retention Rates

There are many examples where large amounts of descriptive information could be classified in order to make it more actionable and more valuable. For example consider the millions of projects or bid opportunities that can be collected. They describe the project, product, or service that is in search of a vendor. In many cases it’s impractical to read and understand all projects to find the few relevant to your needs. Classifying them in such a way that the universe of projects can be narrowed to those most relevant to you could make you exponentially more productive. A similar example using the same approach can be applied to analyzing vendor descriptions to classify companies in a vendor database by industry classification code.

Information may be captured to help inform a process where its meaning is not easily understood.

Consider the example to the left, a healthcare screening process that must operate with accuracy and completeness in spite of misspellings or language difficulties that can occur in rushed or busy environments. Machine learning can interpret the symptom information delivering highly accurate results and improving patient care.

Another example would be a high-volume customer support process where customers are constantly reporting issues, requesting help or asking questions about your products. Summarization algorithms help extract the main points from human generated text and categorize the information for easier consumption in a business process. With additional customized training, the algorithms can be modeled to extract data from the text and trigger other business workflows. Talk with us to learn more.

Analyzing for Emotion goes one step further than Sentiment analysis by indicating the emotions and their intensity reflected in a user’s comments, emails and requests. Understanding themes or topics and their emotional intensity from user feedback can help apps such as Social Media platforms, User Engagement and Employee engagement and feedback platforms to easily extract the Net Promoter Score to help businesses improve their products and services.

Qualetics provides a platform that enables businesses to perform emotional analysis, derive NPS and trigger the appropriate business workflows in real-time.

User sentiment is key for the success of any product or service and understanding the sentiment of a customer having a negative experience as quickly as possible can be the difference between retaining or losing a customer. Qualetics provides the ability to detect sentiment from user generated text in real time to enable a rapid response from your team responsible for customer success or user experience improvement. Users are interacting with your app in more ways than ever and staying on top of their issues and sentiment is more important than ever