What are some common challenges in text analysis?
An example of an AI chatbot conversation about text analysis challenges.
What are some common challenges in text analysis?
Some common challenges include handling ambiguity, dealing with slang, and managing large datasets.
How do you handle ambiguity in text analysis?
We use context and machine learning models to interpret ambiguous terms based on surrounding text.
What techniques can help with slang and informal language?
Techniques like normalization, using slang dictionaries, and training on diverse datasets can help.
What about analyzing sentiment in text?
Sentiment analysis can be tricky due to sarcasm and context, but using advanced NLP models improves accuracy.
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