Answer: natural Language Processing
Explanation:
Natural Language Processing: It is a sub field of linguistics which is concerned with the interactions between Human and computer especially how to program computers to process and to understand large amounts of natural language data.
Answer:
File-exchange compatibility.
Explanation:
File exchange compatibility is the aspect of modern productivity apps that allows files generated in a software package to also be accessed from another software product.
In other words, it is that type of feature by which the user creates any file in his desktops software then that file is also compatible with another desktop or any other software also.
Answer:
Problem Statement
Explanation:
The problem statement is described the complete description of the task of the program. It gives a clear description of the program.
The main objective to develop a problem statement explain the program in a detailed manner The good programmer firstly create the problem statement of the program then it created the program by following the guidelines of the problem statement.
Answer:
c) Java.
Explanation:
Java can be refereed to as a programming language that allows Web site designers and developers to run applications on the user's computer.
Due to the fact that the java platform is a type of platform-independent language. The bytecode that was created with the code as at when compiling it and the language uses a JVM machine that can help in run bytecode on any platform.
The answer to text mining and NLP being either a method or a Process are; Text mining is a Process while NLP is a method
<h3>Understanding Text mining & NLP</h3>
NLP is a method whereby text, speech, images, signs, and other forms of natural human communication are all utilized to examine the grammatical structures that the end - user inputs and derives semantic meanings.
However, Text mining is a technique that is used for analyzing text documents by making use of qualitative analysis to extract the properties of the materials.
Read more about Text Mining at; brainly.com/question/25873249