 |
Fourth is Text Mining.
Text Mining refers to the process of extracting useful information from large amounts of text data by combining Natural Language Processing and Data Mining techniques.
It is used to discover and analyze patterns, trends, information, and statistical characteristics from text data.
The main purposes for which it is used are information retrieval, sentiment analysis, topic modeling, document classification, and information extraction.
Information retrieval is concerned with finding and ranking relevant documents for a user's search query.
Subject modeling is a technique for identifying and grouping key subjects in large amounts of text data.
This allows you to discover hidden patterns in text data.
Information extraction is the process of extracting important information from text.
Text Mining does this by applying machine learning and statistical analysis techniques to text data.
|
IEEE/ICACT20240357 Slide.11
[Big Slide]