Flipkart Review Sentiment Analysis & Spam Comments Detection

Course Overview

• Course Title: Flipkart Review Sentiment Analysis & Spam Comments Detection
• Instructor: ARUNNACHALAM SHANMUGARAAJAN
• Target Audience:
  • Students interested in machine learning and NLP
  • Data scientists and analysts
  • Professionals aiming to enhance NLP skills
• Prerequisites:
  • Familiarity with data preprocessing and machine learning libraries such as scikit-learn
  • Access to a computer with internet connectivity and Python environment setup

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Sentiment Analysis
  • Flipkart Review Data Collection
  • Preprocessing and Text Cleaning
  • Feature Extraction and Vectorization
  • Sentiment Analysis Models
  • Evaluation Metrics for Sentiment Analysis
  • Spam Comments Detection
  • Model Deployment and Integration
  • Performance Optimization and Scalability
  • Ethical Considerations and Best Practices
• Key Skills Learned:
  • Leveraging machine learning techniques for sentiment analysis
  • Data cleaning tasks such as removing duplicates and handling missing values
  • Experimenting with different algorithms and evaluating performance
  • Interpreting and explaining model predictions in sentiment analysis
  • Building and deploying sentiment analysis models
  • Identifying and filtering out spam comments

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • Assignments
  • 2 downloadable resources
  • Access on mobile and TV
  • Certificate of completion