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Python with Pandas and Sentiment Analysis

Track :

Programming

Lessons no : 12

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What will you learn in this course?
  • Develop skills to perform sentiment analysis using Python, Pandas, and NLP techniques for real-world text data
  • Implement data manipulation and analysis with Pandas to prepare text datasets for sentiment classification
  • Apply machine learning algorithms to classify sentiment in textual data accurately and efficiently
  • Utilize natural language processing tools to extract features and improve sentiment analysis models
  • Analyze and visualize sentiment trends in large datasets using Python libraries and data visualization techniques
  • Build end-to-end sentiment analysis projects integrating Python, Pandas, NLP, and machine learning workflows
  • Evaluate model performance and optimize sentiment analysis models for better accuracy and reliability
  • Gain practical experience in deploying sentiment analysis solutions for business insights and social media monitoring

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Lessons | 12


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Python sentiment analysis is a methodology for analyzing a piece of text to discover the sentiment hidden within it. It accomplishes this by combining machine learning and natural language processing (NLP). Sentiment analysis allows you to examine the feelings expressed in a piece of text.