Practice Test 2: Lexicon-Based and Comparative Sentiment Analysis
Practice test on lexicon-based sentiment classification and comparative strengths and weaknesses from the survey.
6 questions · pass mark 50% · try 5 free
1 What are the two main types of lexicon-based approaches described in the survey?
- Dictionary-based and corpus-based
- Supervised and unsupervised
- Rule-based and neural
- Topic-based and syntax-based
The survey divides lexicon-based sentiment analysis into dictionary-based and corpus-based approaches.
2 A sentiment lexicon can be created manually or automatically from seed words.
- True
- False
This is true: the survey explicitly mentions both manual creation and automatic expansion from seed words.
3 Which technique is associated with dictionary-based lexicon construction in the survey?
- Backpropagation
- Bootstrapping
- Tokenization
- Dimensionality reduction
The survey states that dictionary-based methods are based on bootstrapping.
4 Which strengths of dictionary-based lexicon methods are mentioned in the survey?
Select all that apply
- Very fast efficiency
- No labeled training samples required
- Easy access to words and their orientations
- Always more accurate across all domains
The survey lists speed, no need for labeled samples, and easy lexical access as strengths, but not universal superiority across domains.
5 What is one weakness of dictionary-based methods identified in the survey?
- They cannot use text at all
- They may miss domain-specific sentiment orientation not present in the lexicon
- They always need large annotated datasets
- They are slower than all other techniques
A stated weakness is difficulty finding sentiment orientation specific to a domain when the lexicon lacks the needed words.
1 more question in this test
Take the full test in MagicalTutor with instant marking, an explanation for every answer, and a score tracked against your weak topics.
Take the full test