Why NLTK is used in chatbot?

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Why NLTK is used in chatbot?

This chatbot has the ability to parse a document of textual information and answer the queries of the user. The chatbot uses the Natural Language Processing Toolkit (NLTK) to process the textual information.

What technology do Chatbots use?

Artificial intelligence
Artificial intelligence (AI), natural language processing (NLP), and machine learning are chatbot underlying technologies. They bring chatbot innovation, hence brand communication, to an entirely new personalized level.

What is Reflections in NLTK?

Explanation of the above code: Chat class which will process the conversation between the user and your chatbot. Reflections is a dictionary that when a value in a regular expression group matches a key in the dictionary it will output the value in the response.

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What is NLTK package?

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. NLTK supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities.

How can I improve my chatbot?

4 KPIs That Will Help You Improve Chatbot Accuracy

  1. Map confusion rate (CR) of your virtual assistant.
  2. Leverage NLP to enhance the understanding of your bot on colloquial say.
  3. Know Your Audience & Hyper-personalize.
  4. Frame Empathetic Responses using advanced sentiment analysis.

What technique does Mitsuku use?

Mitsuku is a demonstration of the far end of what can be achieved using Pandorabots’ platform, Nelson told me. The bot uses artificial intelligence markup language, or “pattern matching,” to interrogate and mimic the vast symbology of human conversation.

How to interact with the chatbot using NLTK library?

And you can interact with the chatbot by running the application from the interface and you can see the output as below figure. NLTK stands for Natural language toolkit used to deal with NLP applications and chatbot is one among them. Now we will advance our Rule-based chatbots using the NLTK library.

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What is NLTK in NLP?

NLTK stands for Natural language toolkit used to deal with NLP applications and chatbot is one among them. Now we will advance our Rule-based chatbots using the NLTK library. Please install the NLTK library first before working using the pip command.

How to build a conversational engine using NLTK?

In order to successfully build a conversational engine, it should take care of the following things: Understand the Natural Language of the communication. Today we will learn to create a simple chat assistant or chatbot using Python’s NLTK library.

Why do companies use chatbots?

Today most of the companies, business from different sector makes use of chatbot in a different way to reply their customer as fast as possible. chatbots also help in increasing traffic of site which is top reason of business to use chatbots. Chatbot asks for basic information of customers like name, email address, and the query.

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