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The Future of NLP: Transformation in Human Computer Interaction
- NLP faces challenges in understanding complex language like idioms and sarcasm.
- Techniques like lemmatization, stemming, and text encoding help in processing text.
- POS tagging, NER, sentiment analysis, and dependency parsing are important NLP tasks.
- NLP has applications in text classification, machine translation, and question answering.
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