WhatsApp Chat Sentiment Analysis Project | ML & NLP

Course Overview

• Course Title: WhatsApp Chat Sentiment Analysis Project | ML & NLP
• Instructor: ARUNNACHALAM SHANMUGARAAJAN
• Target Audience:
  • Individuals with basic knowledge of Python programming
  • Those with access to WhatsApp chat data for analysis
• Prerequisites:
  • Basic knowledge of Python programming
  • Access to WhatsApp chat data for analysis

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Sentiment Analysis
  • Data Collection and Preprocessing
  • Sentiment Analysis with NLTK
  • Analyzing WhatsApp Chat Sentiments
  • Interpreting Sentiment Results
  • Handling Multilingual Chat Data
  • Advanced Sentiment Analysis Techniques
  • Model Evaluation and Validation
  • Real-World Applications and Insights
• Key Skills Learned:
  • Extracting text data from WhatsApp chat logs
  • Preprocessing text data
  • Using the SentimentIntensityAnalyzer tool
  • Analyzing and visualizing sentiment trends
  • Interpreting sentiment scores
  • Handling multilingual chat data
  • Applying advanced sentiment analysis techniques
  • Evaluating model performance
  • Gaining insights from WhatsApp chat sentiment analysis

Course Format

• Duration: 38 minutes on-demand video
• Format: Self-paced online course
• Resources:
  • Assignments
  • Access on mobile and TV
  • Certificate of completion