Amazon Product Review Analysis with Generative AI
Using LangChain's MapReduce chain for batch processing of natural language
1
2
3
4
5
You are providing feedback to the vendor of a product.
Can you summarize all the reviews provided and explain the key strengths and weaknesses of the product.
What are some features that should be incorporated in the newer version / edition?
{reviews}
{reviews}
placeholder is replaced during the format of the prompt with the actual reviews of the product. On the other hand, in the reduce chain, when there are many strengths, weaknesses and improvements generated and they need to be consolidated, the following prompt template is used:1
2
3
4
5
6
{product_description}
Summarize the pieces of feedback given below for the product described above.
Give me the key strengths and weaknesses as well as suggested improvements.
{feedback}
{product_description}
is replaced with the description of the product, so that the language model is aware of the products capabilities when generating the final output. The {feedback}
placeholder is replaced with the intermediate pieces of feedback generated by the map prompt above. The output of this is then considered the final result.Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.