Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/24795
Title: | Leveraging AI in garnering consumer feedback based on social media response |
Authors: | Aayush Panda, Swastik Sovan |
Keywords: | Choosy;AI;Feedback |
Issue Date: | 2020 |
Publisher: | Indian Institute of Management Ahmedabad |
Abstract: | Objective The objective of the project is to find out how Choosy incorporates user feedback into its social media posts Scope 1. To extract features from images posted by Choosy’s social media accounts along with the user comments 2. To understand how these user comments influence the next post of Choosy Research Questions 1. What are the major parameters that are used by Choosy? 2. Which of these parameters solicit response from the consumers? 3. What is the typical lead time that Choosy takes to incorporate these feedback into the recommendation/ design engine? Methodology/analytical framework Programming language: Python Libraries (For Computer Vision): OpenCV, Kerala, TensorFlow, PyTorch Libraries (For Data analysis and visualization): Pandas, NumPy, Seaborn, MatPlotlib. |
URI: | http://hdl.handle.net/11718/24795 |
Appears in Collections: | Student Projects |
Files in This Item:
File | Description | Size | Format | |
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SP_3027.pdf Restricted Access | 131.36 kB | Adobe PDF | View/Open Request a copy |
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