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What is sentiment analysis, and how is it performed in NLP?

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Title: Decoding Sentiment Analysis in NLP 1. Sentiment Analysis Overview Definition: Sentiment analysis, in Natural Language Processing (NLP), gauges the sentiment expressed in textual data. 2. NLP Techniques for Sentiment Analysis Text Processing: Tokenization, stemming, and lemmatization prepare...
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Title: Decoding Sentiment Analysis in NLP

1. Sentiment Analysis Overview

  • Definition: Sentiment analysis, in Natural Language Processing (NLP), gauges the sentiment expressed in textual data.

2. NLP Techniques for Sentiment Analysis

  • Text Processing: Tokenization, stemming, and lemmatization prepare text for analysis.
  • Feature Extraction: Transforming text into numerical features for machine learning models.
  • Machine Learning Models: Algorithms like Naive Bayes or Neural Networks classify sentiment based on features.

3. UrbanPro's Expertise

  • Advanced Placement Coaching: UrbanPro offers comprehensive coaching for NLP and sentiment analysis.
  • Hands-on Projects: Engage in real-world projects to apply sentiment analysis techniques.

Conclusion

UrbanPro's advance placement coaching empowers learners to master sentiment analysis techniques in NLP, fostering proficiency in this dynamic field.

 
 
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