NLP in AI

What is the primary goal of natural language processing?

• Translating languages

• Understanding and generating human language

• Analyzing data patterns

• Creating conversational agents

Which library in Python is commonly used for NLP tasks?

• NumPy

• TensorFlow

• NLTK

• Matplotlib

Stop Words are words which do not contain important significance to be used in Search Queries. Usually, these words are filtered out from search queries because they return a vast amount of unnecessary information. Mostly they are words that are commonly used in English language such as 'as, the, be, are' etc.

• True

• False

_____ reduces the inflected words properly ensuring that the root word is the dictionary form. For example, runs, running, ran are all forms of the word run.

• Named-entity recognition (NER)

• Lemmatization

• Stemming

• Part-of-speech (POS) tagging

__________is breaking a text chunk into smaller parts. E.g., breaking a paragraph into sentences, sentence into words or word into characters.

• Named-entity recognition (NER)

• Tokenization

• Stemming

• Part-of-speech (POS) tagging

What is the purpose of tokenization in NLP?

• Identifying parts of speech

• Removing stop words

• Breaking text into words or phrases

• Analyzing sentiment

What is stemming in NLP?

• Reducing words to their base or root form

• Assigning sentiment scores to words

• Analyzing grammatical structure

• Identifying named entities

Which of the following is not a primary task of NLP?

• Text Classification

• Image Recognition

• Named Entity Recognition

• Sentiment Analysis

Which algorithm is commonly used for topic modelling in NLP?

• K-Means Clustering

• Random Forest

• LDA (Latent Dirichlet Allocation)

• Textrank

Which NLP task involves labeling words in a sentence with their respective grammatical categories?

• Named entity recognition

• Part-of-speech tagging

• Dependency parsing

• Sentiment analysis