Skip to content
- Context and Ambiguity:
- Sentiment analysis can be challenging due to the ambiguity of language. The sentiment expressed in a sentence may depend heavily on the context, sarcasm, or the overall tone of the document.
- Domain Specificity:
- Sentiment analysis models trained on general datasets may not perform well in domain-specific contexts. Domain-specific sentiment lexicons and fine-tuning on domain-specific data are often needed.
- Handling Negation and Modifiers:
- Negations and modifiers can significantly alter the sentiment of a sentence. Effective sentiment analysis models need to account for the impact of words like “not” or modifiers like “very.”