Developing an AI-based chatbot needs lots of language based data to train the model can understand the speech and communication between humans on certain topics.
Natural language processing (NLP) and natural language understanding (NLU) are the two important aspects used to create the training data sets for chatbot. And to create NLP & NLU based training data, you need labeled or annotated data that can help machine learning algorithms learn from such data and utilize the same information while predicting the results in real-life.
This question right here is how much data you need to train and develop a Chatbot. Actually, depending on your model you have to decide the quantity, quality and types of data sets required to develop the AI-based chatbot model that can work perfectly in real-life environment.
Training Data for Language & Speech Recognition
To recognize the speech and make understand the communication while talking on specific topic, especially while solving the general queries about the users on certain issues, the NLP based annotated data is used with right machine learning algorithms to train the Chabtot model accurately.
Labeled or Unlabeled Data for NLP & NLU
NLP annotation helps for better speech recognition in machines learning to train the chatbot model. During the annotation, the key texts and sentences are annotated properly to make them understandable to machines that help to predict with similar level of accuracy.
Text annotation or NLP annotation is used to developed the chatbot model with supervised machines learning, while if such data is not labeled, unsupervised machine learning process can be used. And for unsupervised machine learning training the data requirement could be different.
Multilanguage Supporting Training Data
In chatbot training, data in multiple languages is also very important, as people find comfortable in their own language or as per their own convenience. So, you should get the training data in compatible language so that you can develop the right model for your customer.
Analyze the Amount & Types of Queries
In chatbot training, the most crucial point while choosing the training data set is – what types of queries and how much queries your customer can generate in a certain type of field. The training data required for Chatbot for particular brand product of company would be much lower compare to multi-brand ecommerce website, where wide variety of customers can ask different types of queries.
How to Get Right Chatbot Development Training?
Along with quantity of training data for chatbot, the quality is also very important, so you need to find the right chatbot training data service provider, to get the right quality of data for your model. And Cogito is one the best-known companies, providing the data set for chatbot training and for NLP-based model development through machine learning and deep learning. Source
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