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Related Questions
- What are some common challenges in traditional sentiment analysis, such as ambiguity and sarcasm?
- How does contextual information, like the tone and intent of a speaker, improve sentiment analysis accuracy?
- Can you explain how incorporating domain knowledge and specialized vocabulary can help address challenges in sentiment analysis?
- How does the use of contextual information, like the speaker's background and perspective, impact the accuracy of sentiment analysis?
- What are some examples of how contextual information can help disambiguate words with multiple meanings in sentiment analysis?
- Can you discuss the role of linguistic features, such as syntax and semantics, in improving sentiment analysis with contextual information?
- How does the use of contextual information, like the conversation history and topic, influence the interpretation of sentiment in text data?
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