![python chatbot python chatbot](https://crisp.chat/blog/content/images/2021/01/4---Tips-to-build-a-Python-Chatbot-using-a-Chatbot-API.png)
However, on the downside, they do not scale well.
![python chatbot python chatbot](https://1.bp.blogspot.com/-4ZLvf7hhDlQ/X69wU4pPUFI/AAAAAAAAAyc/SNFq0V8LdK46cM5stnrUWxXadZ1dJ7_mQCLcBGAsYHQ/s1920/Screenshot%2B%25281208%2529.png)
One of the advantages of rule-based chatbots is that they always give accurate results. If the user query matches any rule, the answer to the query is generated, otherwise the user is notified that the answer to user query doesn't exist. Rule-based chatbots are pretty straight forward as compared to learning-based chatbots. One of the major drawbacks of these chatbots is that they may need a huge amount of time and data to train. Though the response might not always be correct, learning-based chatbots are capable to answer to any type of user query.
![python chatbot python chatbot](https://miro.medium.com/max/2560/1*nFpSRGzgJ8OJZW-rYpMvJA.png)
One of the main advantages of learning-based chatbots is their flexibility to answer a variety of user queries. On the other hand, generative chatbots learn to generate a response on the fly. The retrieval based chatbots learn to select a certain response to user queries. Learning-based chatbots can be further divided into two categories: retrieval-based chatbots and generative chatbots. Learning-based chatbots are the type of chatbots that use machine learning techniques and a dataset to learn to generate a response to user queries. Approaches for Chatbot DevelopmentĬhatbot development approaches fall in two categories: rule-based chatbots and learning-based chatbots. There is also a third type of chatbots called hybrid chatbots that can engage in both task-oriented and open-ended discussion with the users. On the other hand, general purpose chatbots can have open-ended discussions with the users. For instance, a task-oriented chatbot can answer queries related to train reservation, pizza delivery it can also work as a personal medical therapist or personal assistant. The task-oriented chatbots are designed to perform specific tasks. Chatbots can be broadly categorized into two types: Task-Oriented Chatbots and General Purpose Chatbots.
#Python chatbot software#
In simple words, a chatbot is a software application that can chat with a user on any topic. What is a Chatbot?Ī chatbot is a conversational agent capable of answering user queries in the form of text, speech, or via a graphical user interface. But before we begin actual coding, let's first briefly discuss what chatbots are and how they are used. Rather, we will develop a very simple rule-based chatbot capable of answering user queries regarding the sport of Tennis. In this article, we are not going to explore any NLP library. Until now, in this series, we have covered almost all of the most commonly used NLP libraries such as NLTK, SpaCy, Gensim, StanfordCoreNLP, Pattern, TextBlob, etc. In the previous article, I briefly explained the different functionalities of the Python's Gensim library.
#Python chatbot series#
This is the 12th article in my series of articles on Python for NLP.