Merge pull request #83500 from skandil/patch-1

Update overview.md

Author: ktoliver

articles/cognitive-services/language-service/custom-classification/overview.md

@@ -40,9 +40,9 @@ Support centers of all types receive thousands to hundreds of thousands of email
 
 Search is foundational to apps that display text content to users, with common scenarios including: catalog or document search, retail product search, or knowledge mining for data science. Many enterprises across various industries are looking into building a rich search experience over private, heterogeneous content, which includes both structured and unstructured documents. As a part of their pipeline, developers can use custom classification to categorize text into classes that are relevant to their industry. The predicted classes could be used to enrich the indexing of the file for a more customized search experience. 
 
-## Application development lifecycle
+## Project development lifecycle
 
-Creating a custom classification application typically involves several different steps. 
+Creating a custom classification project typically involves several different steps. 
 
 :::image type="content" source="media/development-lifecycle.png" alt-text="The development lifecycle" lightbox="media/development-lifecycle.png":::
 
@@ -66,6 +66,6 @@ Follow these steps to get the most out of your model:
 
 * Use the [quickstart article](quickstart.md) to start using custom text classification.  
 
-* As you go through the application development lifecycle, review the [glossary](glossary.md) to learn more about the terms used throughout the documentation for this feature. 
+* As you go through the project development lifecycle, review the [glossary](glossary.md) to learn more about the terms used throughout the documentation for this feature. 
 
 * Remember to view the [service limits](service-limits.md) for information such as [regional availability](service-limits.md#regional-availability).