Lecture 52 of 76WEEK 10
Lecture 52: Text Mining and Sentiment Analytics (Contd.)
Prof. Swagato Chatterjee · IIT Kharagpur
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- Marketing Analytics, IIT Kharagpur (at NPTEL)
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All the lectures
- Lecture 01: Introduction to R programming
- Lecture 02: Introduction to R programming (Contd.)
- Lecture 03: Introduction to R programming (Contd.)
- Lecture 04: Introduction to R programming (Contd.)
- Lecture 05: Introduction to R programming (Contd.)
- Lecture 06: Introduction to R programming (Contd.)
- Lecture 7 : What Consumers Want
- Lecture 8 : What Consumers Want (Contd.)
- Lecture 9 : What Consumers Want (Contd.)
- Lecture 10 : What Consumers Want (Contd.)
- Lecture 11 : What Consumers Want (Contd.)
- Lecture 12 : What Consumers Want (Contd.)
- Lecture 13 : Segmentation Targeting and Positioning
- Lecture 14 : Segmentation Targeting and Positioning(Contd.)
- Lecture 15 : Segmentation Targeting and Positioning(Contd.)
- Lecture 16 : Segmentation Targeting and Positioning(Contd.)
- Lecture 17 : Segmentation Targeting and Positioning(Contd.)
- Lecture 18: Demand Forecasting and Pricing
- Lecture 19: Demand Forecasting and Pricing (Contd.)
- Lecture 20: Demand Forecasting and Pricing (Contd.)
- Lecture 21 : Demand Forecasting and Pricing (Contd.)
- Lecture 22 : Pricing
- Lecture 23 : Pricing (Contd.)
- Lecture 24 : Pricing (Contd.)
- Lecture 25 : Pricing (Contd.)
- Lecture 26 : Pricing (Contd.)
- Lecture 27 : Pricing (Contd.)
- Lecture 28 : Pricing (Contd.)
- Lecture 29 : Marketing Mix Models and Advertising Models
- Lecture 30 : Marketing Mix Models and Advertising Models (Contd.)
- Lecture 31 : Marketing Mix Models and Advertising Models (Contd.)
- Lecture 32 : Marketing Mix Models and Advertising Models (Contd.)
- Lecture 33 : Marketing Mix Models and Advertising Models (Contd.)
- Lecture 34: Recommendation Engine and Retail Analytics
- Lecture 35: Recommendation Engine and Retail Analytics (Contd.)
- Lecture 36: Recommendation Engine and Retail Analytics (Contd.)
- Lecture 37: Recommendation Engine and Retail Analytics (Contd.)
- Lecture 38: Recommendation Engine and Retail Analytics (Contd.)
- Lecture 39: Recommendation Engine and Retail Analytics (Contd.)
- Lecture 40: RFM and Market Basket Analysis
- Lecture 41: RFM and Market Basket Analysis (Contd.)
- Lecture 42: RFM and Market Basket Analysis (Contd.)
- Lecture 43: RFM and Market Basket Analysis (Contd.)
- Lecture 44: RFM and Market Basket Analysis (Contd.)
- Lecture 45: Customer Churn and Customer Lifetime Value
- Lecture 46: Customer Churn and Customer Lifetime Value (Contd.)
- Lecture 47: Customer Churn and Customer Lifetime Value (Contd.)
- Lecture 48: Customer Churn and Customer Lifetime Value (Contd.)
- Lecture 49: Customer Churn and Customer Lifetime Value (Contd.)
- Lecture 50: Customer Churn and Customer Lifetime Value (Contd.)
- Lecture 51: Text Mining and Sentiment Analytics
- Lecture 52: Text Mining and Sentiment Analytics (Contd.)
- Lecture 53: Text Mining and Sentiment Analytics (Contd.)
- Lecture 54: Text Mining and Sentiment Analytics (Contd.)
- Lecture 55: Text Mining and Sentiment Analytics (Contd.)
- Lecture 56: Text Mining and Sentiment Analytics (Contd.)
- Lecture 57: Text Mining and Sentiment Analytics (Contd.)
- Lecture 58: Text Mining and Sentiment Analytics (Contd.)
- Lecture 59: Text Mining and Sentiment Analytics (Contd.)
- Lecture 60: Text Mining and Sentiment Analytics (Contd.)
- Lecture 61 : Social Network Analysis and Excel Dashboards
- Lecture 62 : Social Network Analysis and Excel Dashboards (Contd.)
- Lecture 63 : Social Network Analysis and Excel Dashboards (Contd.)
- Lecture 64 : Social Network Analysis and Excel Dashboards (Contd.)
- Lecture 65 : Social Network Analysis and Excel Dashboards (Contd.)
- Lecture 66 : Social Network Analysis and Excel Dashboards (Contd.)
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- Live Session 06-04-2021
- Live Session 04-03-2020
- Live Session 28-02-2022
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- Live Session 19-02-2024
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