Natural Language Processsing Intro

Which of the following is a common task in NLP?

• Image recognition

• Sentiment analysis

• Object detection

• Signal processing

Which technique is commonly used for topic modeling in NLP?

• Convolutional Neural Networks (CNNs)

• Latent Dirichlet Allocation (LDA)

• Generative Adversarial Networks (GANs)

• Principal Component Analysis (PCA)

What is the main purpose of tokenization in NLP?

• To convert text into speech

• To break down text into smaller units such as words or phrases

• To translate text from one language to another

• To compress text data

Which of the following is a popular NLP library in Python?

• TensorFlow

• OpenCV

• Scikit-learn

• NLTK

What is Word2Vec?

• A type of image processing technique

• A neural network model to learn word embeddings

• A data augmentation technique

• A method to compress text

In NLP, what is a "corpus"?

• A method of data augmentation

• A large collection of texts used for training models

• A type of neural network

• A special type of word embedding

What is the goal of Named Entity Recognition (NER) in NLP?

• To identify the names of people in a text

• To classify the sentiment of a text

• To detect spam emails

• To identify and classify entities like names, dates, and locations in a text

What does POS tagging stand for?

• Positive Sentiment tagging

• Parts Of Speech tagging

• Point Of Sale tagging

• Piece Of String tagging

Which algorithm is often used for sequence-to-sequence tasks in NLP?

• Random Forest

• Support Vector Machine

• Recurrent Neural Networks (RNNs)

• K-means clustering

What does NLP stand for in the context of computer science?

• Neural Language Processing

• Natural Language Processing

• Network Layer Protocol

• None of the above