Endah_Sentiment Analysis Quiz

What is the primary purpose of sentiment analysis?

• To generate random text

• To identify and extract the emotional tone of text

• To translate text into different languages

• To summarize long articles

Which level of sentiment analysis focuses on individual sentences?

• Aspect-level sentiment analysis

• Document-level sentiment analysis

• Sentence-level sentiment analysis

• Mixed-level sentiment analysis

Why is sentiment analysis important in social media?

• It helps in monitoring brand reputation

• It eliminates the need for customer feedback

• It reduces the amount of data available

• It focuses solely on positive sentiments

Which of the following is an example of negative sentiment?

• I love this product!

• This restaurant has terrible food.

• I am excited about this service.

• The hotel was nice and spacious.

What is a challenge in sentiment analysis related to language?

• Uniform language use

• Limited data sources

• High data quality

• Language ambiguity

Which approach uses machine learning for sentiment analysis?

• Lexicon-based approaches

• Rule-based approaches

• Machine learning approaches

• Hybrid approaches

How can businesses use sentiment analysis effectively?

• By ignoring customer feedback

• By analyzing customer sentiments to improve services

• By focusing only on negative feedback

• By avoiding social media platforms

What is an example of a tool used for sentiment analysis?

• Microsoft Word

• Hootsuite

• Adobe Photoshop

• Google Chrome

What type of sentiment is expressed in the statement: 'The hotel room was nice, but the staff was rude'?

• Mixed sentiment

• Neutral sentiment

• Negative sentiment

• Positive sentiment

What is a potential issue when analyzing multilingual data in sentiment analysis?

• Increased accuracy

• Language ambiguity

• Simplified processing

• Uniform sentiment expression