
Exploring Sentiment Analysis Techniques
Authored by Anu Shankar
Information Technology (IT)
University
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of sentiment analysis?
To determine the emotional tone behind a body of text.
To identify the author of a text.
To summarize the main ideas in a document.
To analyze the grammatical structure of text.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is tokenization in the context of text preprocessing?
Tokenization is the process of summarizing text into a single sentence.
Tokenization refers to the encryption of text data for security purposes.
Tokenization is the method of translating text into numerical values for analysis.
Tokenization is the process of dividing text into individual tokens, such as words or phrases.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
List a method of tokenization.
Character Tokenization
Sentence Tokenization
Phrase Tokenization
Word Tokenization
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is stop words removal important in text analysis?
Stop words removal is important because it reduces noise and enhances the focus on meaningful words in text analysis.
Stop words are the most important words in a text.
Removing stop words increases the size of the dataset.
Stop words removal is unnecessary for text analysis.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Give an example of a common stop word in English.
outside
the
below
good
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between stemming and lemmatization?
Stemming is a crude method that removes suffixes, while lemmatization considers context and returns valid base forms.
Stemming analyzes the meaning of words, while lemmatization does not.
Lemmatization is faster than stemming in all cases.
Stemming always produces valid words, while lemmatization does not.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is commonly used for stemming?
Porter Stemming Algorithm
Support Vector Machine
Naive Bayes Classifier
K-means Clustering Algorithm
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