How can NLP be used for sentiment analysis?
NLP can analyze text data to determine the sentiment behind it, classifying it as positive, negative, or neutral.
What are some common techniques used in NLP for this purpose?
Common techniques include tokenization, sentiment lexicons, and machine learning models like SVM and neural networks.
Can you give me an example of a sentiment analysis application?
Sure! Companies use sentiment analysis to gauge customer feedback on social media and improve their products.
What tools can I use to perform sentiment analysis?
Popular tools include NLTK, TextBlob, and libraries like Hugging Face's Transformers for advanced models.
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