Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Package Installation

Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Package Installation

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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This video tutorial guides viewers through the process of setting up a rule-based chatbot using Python and NLTK. It covers the installation of necessary packages, importing essential libraries, and downloading datasets from NLTK. The tutorial also explains the use of TF-IDF vectorizer and cosine similarity for chatbot development.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the first step to start programming a rule-based chat bot?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Which library is required for natural language processing in Python?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What command should be used to install the NLTK package?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of importing the 'Wikipedia' library in the chat bot project?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

List the additional standard packages mentioned that are used in the project.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the two datasets that need to be downloaded from NLTK?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the purpose of the TF-IDF vectorizer in the context of the chat bot.

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