10 Questions
Some examples of semantic technologies include natural language ______ (NLP)
processing
Semantic technologies seek to help derive ______ from information
meaning
Data mining technologies employ ______ algorithms to tease out trends and correlations within large sets of data
pattern-matching
NLP technologies attempt to process ______ text content and extract the names, dates, organizations, events, etc.
unstructured
Data mining can be used to identify suspicious and potentially ______ trading behavior in large databases of financial transactions
fraudulent
Which technologies are examples of semantic technologies?
Data mining
What is the goal of semantic technologies?
To separate signal from noise
What do NLP technologies attempt to extract from unstructured text content?
Names, dates, organizations, events
What do data mining technologies employ to tease out trends and correlations within large sets of data?
Pattern-matching algorithms
What can data mining be used for in large databases of financial transactions?
Identify suspicious trading behavior
Study Notes
Semantic Technologies
- Examples of semantic technologies include Natural Language Processing (NLP)
Goals of Semantic Technologies
- Seek to help derive meaning from information
NLP Technologies
- Attempt to process unstructured text content and extract:
- Names
- Dates
- Organizations
- Events
- etc.
Data Mining Technologies
- Employ statistical algorithms to tease out trends and correlations within large sets of data
- Can be used to identify:
- Suspicious trading behavior
- Potentially fraudulent trading behavior in large databases of financial transactions
Test your knowledge of semantic technologies with this quiz! Learn about various technologies such as natural language processing, data mining, artificial intelligence, category tagging, and semantic search. Explore how these technologies help derive meaning from information.
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