Update link in README.md file

Author: aassadza

CHANGELOG.md

@@ -9,7 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
--   Implementation to refactor to reuse the following architecture patterns from [AWS Solutions Constructs](https://aws.amazon.com/solutions/constructs/)
+-   Implementation to refactor and to reuse the following architecture patterns from [AWS Solutions Constructs](https://aws.amazon.com/solutions/constructs/)
     -   aws-kinesisfirehose-s3
     -   aws-kinesisstreams-lambda
     -   aws-lambda-step-function

README.md

@@ -55,7 +55,7 @@ After you deploy the solution, use the included Amazon QuickSight dashboard to v
 
 ## Deployment
 
-The solution is deployed using a CloudFormation template with a lambda backed custom resource that builds the Amazon QuickSight Analaysis and Dashboards. For details on deploying the solution please see the details on the solution home page: [Discovering Hot Topics Using Machine Learning](aws.amazon.com/solutions/implementations/discovering-hot-topics-using-machine-learning/)
+The solution is deployed using a CloudFormation template with a lambda backed custom resource that builds the Amazon QuickSight Analaysis and Dashboards. For details on deploying the solution please see the details on the solution home page: [Discovering Hot Topics Using Machine Learning](https://aws.amazon.com/solutions/implementations/discovering-hot-topics-using-machine-learning/)
 
 ## Source Code
 
@@ -92,7 +92,7 @@ The solution is deployed using a CloudFormation template with a lambda backed cu
 
 ## Creating a custom build
 
-The solution can be deployed through the CloudFormation template available on the solution home page: [Discovering Hot Topics Using Machine Learning](aws.amazon.com/solutions/implementations/discovering-hot-topics-using-machine-learning/). To make changes to the solution, using the below steps download or clone this repo, update the source code and then run the deployment/build-s3-dist.sh script to deploy the updated Lambda code to an Amazon S3 bucket in your account.
+The solution can be deployed through the CloudFormation template available on the solution home page: [Discovering Hot Topics Using Machine Learning](https://aws.amazon.com/solutions/implementations/discovering-hot-topics-using-machine-learning/). To make changes to the solution, using the below steps download or clone this repo, update the source code and then run the deployment/build-s3-dist.sh script to deploy the updated Lambda code to an Amazon S3 bucket in your account.
 
 ### 1. Clone the repository