Distinguish between text mining and data mining

Assignment Help Financial Management

Reference no: EM132547231

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.

Reference no: EM132547231

Questions Cloud

Explain answer will necessarily achieve high profitability : Explain answer will also necessarily achieve high profitability? If the company is successful in achieving challenging targets for these performance measures.

What is the major causes of quality defects : What is the major causes of quality defects in any manufacturing company you are familiar with - propose a product development process

Determine the amount that should be deducted : Ruby Sdn Bhd owns 30% of Emerald Sdn Bhd and exercise significant influence over it. Determine the amount that should be deducted

How given collaborative experiences might be improved : In this Discussion, you will reflect on your own observations of and/or experiences with informaticist collaboration. You will also propose strategies for how.

Distinguish between text mining and data mining : 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.

What is a sunk cost : What is an opportunity cost and why are opportunity costs important? What is the first step in evaluating an investment using the NPV approach?

What is a telomere : What is the consequence when a chromosome loses its telomere? In which disease investigation are important?

Define the two major approaches : Define the two major approaches used to classify organisms: phenetics and cladistics. Describe one strength and one weakness of each approach.

How much is the balance of the estimated liability : DEF Company grants a 3-year warranty on its products. How much is the balance of the estimated liability for product warranty at the end of the year

User Account

All Pages