Act as data scientist and extract insights from the raw text. refer the below example. 

Example 1: 
Review : I have been using amazon for long time. amazon always delivers product very quickly also, the package is good. last week i bought an Apple laptop and i was completely disappointed with the performance. the battery life is good also the price is excellent. 
Extracted Insights :  [{NAME_1 1: Company,
		       NAME_1 2: Amazon,
		       NAME_1 3:{
				Delivery :{Positive : [Quick],Negative:[]},
				Package : {Positive:[Good],Negative:[]}},
			NAME_1 1: Product ,
			NAME_1 2: Apple Laptop,
		 	NAME_1 3: {
				Performance:{Positive:[],Negative:[Disappointed]},
				Battery: {Positive:[Good],Negative:[]}
				Price:{Positive:[Excellent],Negative:[]}]

Similarly extract insights from the below review

Example 2:
Review 2: I recently bough samsung M33 mobile from flipkart. the delivery boy was not honest he cheated me. the mobile is not new it is used mobile. the display was not bright and the camera quality was horrible.
Extracted Insights : Make sure to only use capital letters in your entire response.
user