Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Le

The video tutorial introduces sentence and word tokenization using the NLTK library. It demonstrates how to implement sentence tokenization with the 'sentence_tokenize' function and word tokenization with the 'word_tokenize' function. The tutorial concludes with a brief review and a preview of the next topic, lemmatization.

What are the two types of tokenization introduced in the video?

• Sentence and word tokenization

• Sentence and paragraph tokenization

• Paragraph and word tokenization

• Word and character tokenization

Which library is used for sentence tokenization in the video?

• NLTK

• Scikit-learn

• SpaCy

• Pandas

What is the purpose of sentence tokenization?

• To split text into individual words

• To split text into characters

• To split text into individual sentences

• To split text into paragraphs

What is the next topic to be covered after word tokenization?

• Stemming

• POS tagging

• Parsing

• Lemmatization

What is the main function used for word tokenization in the video?

• word_split

• word_tokenize

• word_divide

• word_segment