WorksheetsNLP-WEEK2-B1
Total questions: 10
Worksheet time: 5mins
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
