Natural Language Processing Sentiment Analysis and Text Classification

Question 1

What is sentiment analysis in NLP?

Accepted Answer

The task of determining the emotional tone or opinion expressed in a piece of text

Answer

The task of summarizing a document into key points

Answer

The process of identifying grammatical errors in text

Answer

A method for extracting named entities from reviews

Question 2

What is aspect-based sentiment analysis (ABSA)?

Accepted Answer

Identifying sentiment expressed toward specific aspects or features of an entity, rather than overall sentiment

Answer

Analyzing the grammatical aspects of a sentence

Answer

Classifying text into topics using unsupervised clustering

Answer

Detecting irony and sarcasm in customer feedback

Question 3

What is the main challenge of detecting sarcasm in sentiment analysis?

Accepted Answer

Sarcasm uses positive language to convey negative sentiment, contradicting surface-level lexical signals

Answer

Sarcastic text contains more grammatical errors

Answer

Sarcasm only appears in spoken language, not text

Answer

Sarcastic sentences are always shorter than sincere ones

Question 4

What is the Naive Bayes classifier commonly used for in NLP?

Accepted Answer

Text classification tasks such as spam detection and sentiment analysis based on word frequency features

Answer

Generating text sequences token by token

Answer

Parsing the syntactic structure of a sentence

Answer

Aligning source and target words in machine translation

Question 5

What does a confusion matrix reveal about a text classifier?

Accepted Answer

The counts of true positives, true negatives, false positives, and false negatives for each class

Answer

The distribution of word frequencies in the training corpus

Answer

The learning curve of the model during training

Answer

The vocabulary size required for the classification task

Question 6

What is the difference between binary and multi-class text classification?

Accepted Answer

Binary classification assigns text to one of two classes, while multi-class assigns it to one of three or more classes

Answer

Binary classification uses neural networks while multi-class uses rules

Answer

Multi-class classification always requires more training data than binary

Answer

Binary classification cannot be applied to sentiment analysis