The information age that we are living in is characterized by the rapid growth in the amount of data and

The information age that we are living in is characterized by the rapid growth in the amount of data and information collected, stored, and made available in electronic format. The vast majority of business data is stored in virtually unstructured text documents. Therefore there is a need for text mining, and the following are the most popular application areas of text mining:
1. Information extraction
2. Topic tracking
3. Summarization
4. Categorization
5. Clustering
6. Concept linking
7. Question answering.
Discussion question: Pick two of these most popular application areas of text mining and discuss extensively on them. After that, distinguish between text mining and data mining.
Additionally, post some examples or find a related topic on the Internet and comment on it in the discussion post.
Reference: Sharda, R., Delen, Dursun, and Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support. 11th Edition. By PEARSON Education. Inc. ISBN-13: 978-0-13-519201-6

 

"Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!"

Connect with a professional writer in 5 simple steps

Please provide as many details about your writing struggle as possible

Academic level of your paper

Type of Paper

When is it due?

How many pages is this assigment?

Place Order