Datasheet
Botium
Natural Language Processing (NLP) Advanced Analytics, Training, & Testing
Achieve Speed & Quality with Automated Functional & Regression Testing
In improving human-to-machine communication, a generation of conversational AI bots emerged, with the sole purpose of understanding and serving customers better. This breed of conversational AI keeps track of information throughout the conversation, and—perhaps most importantly—they can be fine-tuned and adapted to have even better understanding. This ongoing development is a useful approach, but it poses challenges for chatbot quality assurance.
To ensure that an NLP-powered chatbot doesn’t go awry, you must systematically and continuously train and test its understanding of customer intents using real-world conversation data being generated across channels. To deliver higher accuracy rates, you need to understand how your NLP text or voice-based chatbot operates and implement an effective testing strategy.
Botium tests and analyzes your NLP training data, allowing you to understand and fix your conversational AI’s behavior in minutes. NLP Advanced reduces the amount of time taken to identify opportunities for your NLU to better understand your customers.
Evaluate Your Conversational AI’s NLP Models
At the heart of any conversational AI bot is the Natural Language Understanding (NLU) engine behind it. Botium enables you to comprehensively evaluate your NLP model and identify areas where intents overlap, or concepts need reinforcement.
Annotate and Augment Testing and Training Data
The importance of training data—and specifically clean training data—in getting that NLU engine to work is essential. It is both a question of quality as well as quantity. If you identified issues in your NLU performance, it’s time to augment that training data to improve the NLU performance.
Train Your NLU and Validate Improvements
For your convenience and faster feedback cycles, Botium features a built-in Test Case Wizard to enrich your training data and sync it back to your NLU engine of choice so you can start the training process quickly. This Test Data Wizard allows you to easily launch new test sessions that incorporate refined and retrained NLP models so you can determine if your changes have improved your conversational AI’s performance.
Botium visualizes the NLP performance metrics, then analyzes and benchmarks your conversational AI training data to understand where it does or doesn’t work and why. With these insights and guidance on how to improve, you can make informed decisions about how you develop and enhance your bot’s performance.
With Botium’s NLP Testing, You Can:
Benchmark NLP Performance
Botium’s NLP Analysis compares and assesses the performance of different NLP/NLU models to ease the choice between vendors for your specific use cases.
Improve Your Conversational AI’s Understanding
When you use Botium, you can easily visualize if there any user examples are performing poorly during a test session with our Intent Confidence Distribution Chart. For example, you can see if an NLP engine returned a low confidence score.
Easily View Confusion
Botium makes it easy to see how your bot is performing with a Confusion Matrix, highlighting instances of confusion between predicted intent and the expected intent.
Improve Overall NLU Performance
It can be difficult to pinpoint exactly where you should focus efforts and make improvements during the development lifecycle. If an issue occurs with test results, Botium will send an automated alert with suggested actions for improvement.
Review Results
When you use Botium, you will be able to easily review a summary of all test activities and final results on your project. All NLP results are downloadable, for easy reference and sharing.
Expand Your Test Coverage
Botium supports NLP testing for all leading NLP providers—regardless of where you turn for service, Botium is prepared to help you test and monitor performance.
NLP Advanced in Botium
In addition to Botium’s NLP testing capabilities, you can access advanced analytics, allowing you to benchmark and improve your NLP models to deliver quality interactions that will meet customer expectations.
With Botium, you can evaluate your bot model using the following:
Correctness Score
Assess your bot’s accuracy when responding to customers and determine its readiness for deployment, while also highlighting unintentional regressions.
Confidence Score
Receive insights into your model’s confidence levels, so you can maximize containment by minimizing the number of incorrect responses and unanswered queries.
Clarity Score
Measure your model’s stability to determine whether it has a solid foundational structure.
Using Botium NLP Advanced, you can better inform your decision-making process when the time comes to update your NLP models and ensure that your updates are actually improving customer interactions, instead of creating unintended regressions. In turn, you’ll boost your team’s productivity through the entire development cycle and easily scale your conversational AI. Proactively eliminate defects and minimize the chance of customer impact to increase overall customer satisfaction at a reduced cost.
Botium’s NLP Advanced Analytics are available for the following NLP providers: IBM Watson, Microsoft CLU, Dialogflow ES, Dialogflow CX, Rasa, Amazon Lex, and Cognigy (Beta).
