Sentiment Analysis in NLP: Understanding Emotions in Text | AI with Skakun

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Sentiment Analysis in NLP: Understanding Emotions in Text

Sentiment analysis is one of the most widely used applications of natural language processing, enabling machines to understand and interpret human emotions, opinions, and attitudes expressed in text. This comprehensive guide explores the techniques, challenges, and applications of sentiment analysis.

Sentiment Analysis Techniques

1. Rule-based Methods

Use predefined rules and lexicons to determine sentiment.

from sklearn.model_selection import train_test_split

from sklearn.svm import SVC

from sklearn.metrics import classification_report

Frequently asked questions