GH-1753: Fix Project Name in Docs

Resolves #1753

Author: garyrussell

spring-kafka-docs/src/main/asciidoc/kafka.adoc

@@ -3823,7 +3823,7 @@ Also, you can pass in `Supplier<Serializer>` or `Supplier<Deserializer>` instanc
 [[string-serde]]
 ===== String serialization
 
-Since version 2.5, Spring Kafka provides `ToStringSerializer` and `ParseStringDeserializer` classes that use String representation of entities.
+Since version 2.5, Spring for Apache Kafka provides `ToStringSerializer` and `ParseStringDeserializer` classes that use String representation of entities.
 They rely on methods `toString` and some `Function<String>` or `BiFunction<String, Headers>` to parse the String and populate properties of an instance.
 Usually, this would invoke some static method on the class, such as `parse`:
 

spring-kafka-docs/src/main/asciidoc/quick-tour.adoc

@@ -2,7 +2,7 @@
 === Quick Tour
 
 Prerequisites: You must install and run Apache Kafka.
-Then you must put the spring-kafka JAR and all of its dependencies on your class path.
+Then you must put the Spring for Apache Kafka (`spring-kafka`) JAR and all of its dependencies on your class path.
 The easiest way to do that is to declare a dependency in your build tool.
 
 If you are not using Spring Boot, declare the `spring-kafka` jar as a dependency in your project.

spring-kafka-docs/src/main/asciidoc/retrytopic.adoc

@@ -49,7 +49,7 @@ NOTE: You can have separate `ListenerContainerFactory` instances for the main an
 
 ===== Using the `@RetryableTopic` annotation
 
-To configure the retry topic and dlt for a `@KafkaListener` annotated method, you just have to add the `@RetryableTopic` annotation to it and Spring Kafka will bootstrap all the necessary topics and consumers with the default configurations.
+To configure the retry topic and dlt for a `@KafkaListener` annotated method, you just have to add the `@RetryableTopic` annotation to it and Spring for Apache Kafka will bootstrap all the necessary topics and consumers with the default configurations.
 
 ====
 [source, java]

spring-kafka-docs/src/main/asciidoc/streams.adoc

@@ -1,9 +1,9 @@
 [[streams-kafka-streams]]
-=== Kafka Streams Support
+=== Apache Kafka Streams Support
 
 Starting with version 1.1.4, Spring for Apache Kafka provides first-class support for https://kafka.apache.org/documentation/streams[Kafka Streams].
 To use it from a Spring application, the `kafka-streams` jar must be present on classpath.
-It is an optional dependency of the `spring-kafka` project and is not downloaded transitively.
+It is an optional dependency of the Spring for Apache Kafka project and is not downloaded transitively.
 
 ==== Basics
 
@@ -157,7 +157,7 @@ streamsBuilderFactoryBean.setListener(new KafkaStreamsMicrometerListener(meterRe
 [[serde]]
 ==== Streams JSON Serialization and Deserialization
 
-For serializing and deserializing data when reading or writing to topics or state stores in JSON format, Spring Kafka provides a `JsonSerde` implementation that uses JSON, delegating to the `JsonSerializer` and `JsonDeserializer` described in <<serdes>>.
+For serializing and deserializing data when reading or writing to topics or state stores in JSON format, Spring for Apache Kafka provides a `JsonSerde` implementation that uses JSON, delegating to the `JsonSerializer` and `JsonDeserializer` described in <<serdes>>.
 The `JsonSerde` implementation provides the same configuration options through its constructor (target type or `ObjectMapper`).
 In the following example, we use the `JsonSerde` to serialize and deserialize the `Cat` payload of a Kafka stream (the `JsonSerde` can be used in a similar fashion wherever an instance is required):