It is always important to evaluate the quality of your chatbots and conversational agents in order to know the its real health, accuracy and efficiency. Chatbot accuracy can only be increased by constantly evaluating and retraining it with new data that answers your...
What is Training Data? Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries. The training data is enriched by data labeling or data annotation, with information about entities, slots…...
Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML In this post, we will focus on NLP and how it works...
Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or...
It’s a true story that Germans love their long words. However, this fact may not be so loved for text processing procedures. The lack of NLP libraries in Python adapted to German makes it difficult to properly analyze this kind of words. Let us share with you our NLP...
If you want your chatbot to recognize a specific intent, you need to provide it with a large number of sentences that express that intent. That doesn’t seem that easy, right? Now you can do it in a matter of seconds. Keep reading! One of the main problems with the...
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