NLP-WEEK2-B1

What is stemming in NLP?

• • Assigning sentiment scores to words

• • Analyzing grammatical structure

• • Reducing words to their base or root form

• • Identifying named entities

In Python's NLTK library, what function is used for stop word removal?

• • remove_stopwords()

• • stopwords.remove()

• • nltk.corpus.stopwords.words()

• • nltk.remove_stopwords()

which NLP technique involves reducing words to their root form by removing suffixes and prefixes,even if the result is not a valid word

• stemming

• pats-of-speech

• sentiment analysis

• NER

In NLP what is the purpose of "stopwords"

• To improve the text readability

• To identify the sentiment of a text

• To group words into topics

• To perform machine translation

What is the primary goal of Information Retrieval in NLP

• To recognise and classify named entities

• To identify the sentiment of a text

• To retrieve relevant documents based on user queries

• To perform Tokenization

The root form of a word in Wordnet dictionary is called

• stem

• sense

• gloss

• lemma

In NLP, The process of removing words like “and”, “is”, “a”, “an”, “the” from a sentence is called as

• stemming

• lemmatization

• stopwords

• all of the above

In which step of the Porter Stemmer Algorithm are suffixes like "ATIONAL" transformed into "ATE"?

• step 2

• step 3

• it is removed

• none of the above

Identify odd one out

• scikit learn

• spacy

• bert

• nltk

Which one of the following is keyword Normalization techniques in NLP

• Stemming

• Lemmatization

• parts of speech

• Named entity recognition