i want a build an AI model for detecting how customer feel about the price of product or sale items by detecting the frequency and emissions of radiations or frequecny of certain type by their brain or body (if there exsit any ) by the the customer . I don’t want to take reviews by customer itself as they can temper and fabricate it and can be fake about it.
Kindly guide me in this scenario and suggest other possibilities for building AI model for the particular problem.
Thankss in advance 
Hi @S_basit
There is no technology or scientific evidence to suggest that detecting customer feelings about the price of a product or sale items can be achieved through the frequency of radiations or brain and body emissions. Current methods for understanding customer sentiment typically rely on data from surveys, reviews, social media analysis, and natural language processing techniques applied to textual data.
It would be more feasible to explore existing natural language processing (NLP) techniques and sentiment analysis algorithms. These methods have proven effective in understanding and categorizing opinions and emotions expressed in text data.
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@christineshepherd
Thank you so much…can you guide me about sentiment analysis through NLP techniques or reference to articles and readings. I would really appreciate that.
Hello Basit,
Sure, here are some reading that you can refer to. Also sharing a YouTube video that will give better understanding:
- NLP techniques for automating responses to customer queries: a systematic review | Discover Artificial Intelligence
- NLP for Sentiment Analysis in Customer Feedback
- https://www.youtube.com/watch?v=lsUCG6eW9HE
Hope this will help you.
Regards
CS
@christineshepherd Thank you so much for helping and for your time