Podcast
Questions and Answers
What task involves extracting entities from the text?
What task involves extracting entities from the text?
- Topic Analysis
- Named Entity Recognition (correct)
- Speech Recognition
- Grammar Correction
Which NLP technique allows the extraction of meaning by identifying recurrent topics?
Which NLP technique allows the extraction of meaning by identifying recurrent topics?
- Speech Recognition
- Topic Analysis (correct)
- Grammar Correction
- Named Entity Recognition
What is the main challenge in Speech Recognition?
What is the main challenge in Speech Recognition?
- Translating between languages
- Handling different accents and grammar variations (correct)
- Deciphering punctuation marks
- Recognizing proper nouns
Which part of speech is 'better' in the sentence 'a better Customer service'?
Which part of speech is 'better' in the sentence 'a better Customer service'?
What does NLP stand for in the context mentioned?
What does NLP stand for in the context mentioned?
Which task does NLP machine perform on documents, paragraphs, and sentences?
Which task does NLP machine perform on documents, paragraphs, and sentences?
What is the purpose of sentiment analysis in NLP?
What is the purpose of sentiment analysis in NLP?
What is the difference between stemming and lemmatization?
What is the difference between stemming and lemmatization?
Why is stop word removal considered an important step in NLP?
Why is stop word removal considered an important step in NLP?
What happens to the word 'playing' after stemming?
What happens to the word 'playing' after stemming?
Which process involves adding parts of speech types to each token?
Which process involves adding parts of speech types to each token?
What is the lemma word for 'sings', 'singing', and 'sung'?
What is the lemma word for 'sings', 'singing', and 'sung'?