The organization and user interaction complexity reduce by the invention of chatbots and chatbots interact like a customer support tool.
The chatbot is robotic software which utilizes the facilities of artificial intelligence to satisfy the need of customer by solving issues. The chatbot can interact in different language facilities depending upon the region. Depending upon the sector the characteristic may vary. The customer can utilize the facilities of chatbot in different methods like websites, messaging applications, mobile applications.
As per the report, the chatbot compound annual growth rate of 29.7% and predict growth from 2.6billon US dollars in 2019 to 9.4 billion US dollars in 2024. The chatbot algorithm is trained for both system language and human language.
A huge amount of big data is stored in the system for a quick response back to the user. So the predictive questions keywords are required to answer the questions. If the question keyword is not available in the stored data, it is difficult to respond. Hence the different possible question keywords are stored in the system to improve the quality of chatbots.
The ML and NLP models are the major chatbots datasets
Yahoo Language Data
In Yahoo Language Data, the database consists of various question keywords and answers. As per the questioning keyword, the system starts to respond. The question key words analysis by using artificial intelligence, the answer identified from the set of information.
Question-Answer Dataset
This chat is related to an academic basis. It contains the predictive question and answers database. As per the question keyword, the answer chooses from the data set.
SQuAD (Stanford Question Answering Dataset)
In SQuAD, the answers are list out from the Wikipedia article, the question analysis by the system. As per the matching set of text in the question, the answer was taken from the Wikipedia database.
ClariQ
It is a conversational search-oriented method of AI, the main objective is satisfying the user need by responding appropriately.
NPS Chat Corpus Python is the base language of the NPS chat corpus and it is a type of natural language tool kit. The NSP and several modules are used in this system to improve quality.
