Chatbots are AI-based virtual assistant applications developed to answer the questions of the customers on a specific topics or field. These applications are used by the companies to assist their large group of customers without any human.
And to train such chatbots, huge quantity of training datasets are required for the machine learning chatbot algorithms, so that model can learn from the data sets and answer the questions when used in real-life.
Chatbot is used to communicate with humans, mainly in texts or audio formats. In this AI-based application, it can assist large number of people to answer their queries from the relevant topics. And to train the chatbot, language, speech and voice related different types of data sets are required.
Actually, these data are then used with natural language processing (NLP) to make it understandable to machine through certain algorithms, than feed the training data and make the model learn correctly and give the most relevant and precise answers.
In NLP different types of data like texts and audio are sued but without data annotation, it is not possible to use it for machine learning algorithm training. Hence, text annotation, audio annotation, named entity recognition and NLP annotation are the leading techniques to make such data usable for machine learning like chatbot training.
Each texts or audio is annotated with added metadata to make the sentence or language understandable to machine. And when different types of communication data sets are annotated or labeled it becomes training data sets for such applications like chatbot or virtual assistant.
High-quality chatbot training data is the data set that is properly labeled to annotated specially for machine learning. And the labeling or annotation part is done with high accuracy to make sure the chatbot like models can learn precisely and give the accurate results.
If quality of data is not good the chatbot will not able to learn properly and give the wrong answers to the people asking questions on specific topic. So, it is important to train the chatbot with relevant and high-quality of training data to get the precise and most satisfying results.
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Getting the chatbot training data is a challenging tasks for the machine learning engineer. Actually, you can get the raw data easily, but making it understandable to machine is the actual tasks, online data annotation companies can do with better accuracy at professional levels.
Cogito is one of the well-known data labeling company, with expertise in image annotation to make the different types of data understandable to machines including AI-based chatbot and virtual assistant. It can provide the best-in-class high-quality chatbot training data with scalable solution and turnaround time to produce the huge quantitate of data at very affordable cost.