Text Mining

profileramyalingala

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

    • a year ago
    • 5
    Answer(1)

    Purchase the answer to view it

    blurred-text
    NOT RATED
    • attachment
      TURNITINREPORTm7899.pdf
    • attachment
      datandtextmining.docx
    • attachment
      turnitinreport200.pdf
    • attachment
      datandtextmining.docx