12 Questions
What task involves extracting entities from the text?
Named Entity Recognition
Which NLP technique allows the extraction of meaning by identifying recurrent topics?
Topic Analysis
What is the main challenge in Speech Recognition?
Handling different accents and grammar variations
Which part of speech is 'better' in the sentence 'a better Customer service'?
Adjective
What does NLP stand for in the context mentioned?
Natural Language Processing
Which task does NLP machine perform on documents, paragraphs, and sentences?
Tagging with appropriate topics
What is the purpose of sentiment analysis in NLP?
Determining the sentiment of a sentence
What is the difference between stemming and lemmatization?
Stemming simplifies a word by removing affixes, while lemmatization reduces it to its base form
Why is stop word removal considered an important step in NLP?
To remove words irrelevant to the meaning of the speech
What happens to the word 'playing' after stemming?
It becomes 'play'
Which process involves adding parts of speech types to each token?
Part of Speech Tagging
What is the lemma word for 'sings', 'singing', and 'sung'?
'sing'
Learn about sentiment analysis in Natural Language Processing (NLP), where machines determine the intent behind sentences and classify sentiments as positive, neutral, or negative. Explore how stemming and lemmatization simplify words to their root forms, aiding in sentiment analysis.
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