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Sentiment Analysis Using Python

In an era dominated by digital communication, understanding the sentiment behind text data has become crucial for businesses, brands, and individuals alike. Welcome to Eduratnam's insightful course on "Sentiment Analysis Using Python," where you'll learn to harness the power of natural language processing (NLP) and machine learning to decode the emotions hidden within textual information. Whether you're a data enthusiast, aspiring data scientist, or business professional keen on extracting valuable insights from text, this course is your gateway to mastering the art of sentiment analysis.

"Sentiment Analysis Using Python" is meticulously designed to provide you with a comprehensive understanding of the techniques, tools, and methodologies used to analyze sentiment in text data. From exploring the basics of NLP to building and deploying sentiment analysis models, this course covers the essentials needed to extract meaningful insights from textual information. With a focus on hands-on learning and real-world projects, you'll gain the skills to unlock the sentiments behind the words.

"Sentiment Analysis Using Python" is your key to decoding emotions in text data and extracting valuable insights from the vast sea of digital communication. Enroll today and take the first step towards becoming proficient in the art of sentiment analysis.

  • Introduction to Sentiment Analysis
  • Text Preprocessing with Python
  • Natural Language Processing (NLP) Basics
  • Building Sentiment Analysis Models
  • Image Classification with TensorFlow and Keras
  • Sentiment Analysis with Natural Language Toolkit (NLTK) and TextBlob
  • Sentiment Analysis with Machine Learning Libraries
  • Deep Learning for Sentiment Analysis
  • Sentiment Analysis in Real-Time
  • Model Deployment
  • Real-World Projects

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COURSES FEATURES

  • Recorded Class video:yes
  • Class Type:Online/Offline
  • Students/Batch:Max 10
  • Language:Hindi/English
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