A gentle engagement with natural language processing and text mining. Plus an India focus.
Showing posts with label textanalytics. Show all posts
Showing posts with label textanalytics. Show all posts
Wednesday, January 7, 2015
Thursday, January 16, 2014
Wednesday, January 15, 2014
Tuesday, January 14, 2014
Monday, January 13, 2014
Saturday, January 11, 2014
Friday, January 10, 2014
Monday, January 6, 2014
Sunday, January 5, 2014
Thursday, January 2, 2014
Wednesday, January 1, 2014
What's the difference between text analytics and natural language processing?
Phrases like "text analytics/text mining", and "natural language processing" are often used interchangeably. While there are considerable topics of overlap between the subjects that come under these terms, they are not identical.
Text Analytics/Mining
Natural Language Processing
Text Analytics/Mining
- Getting structure and patterns out of textual data (a type of data mining; traditional data mining deals with structured data)
- Heavily uses natural language processing concepts & tools to extract structure
- Uses rules or statistics to impose or derive structure
- Tasks like natural language generation are usually not part of this analysis, being more of a synthesis task
- May use information retrieval concepts such as as tf-idf, bag of words etc.; thus text mining may do more shallow language processing rather than any deep linguistic analyses.
Natural Language Processing
- A mixture of linguistics, computer science, and maths
- Usually considered a division of artificial intelligence studies
- Both analysis and generation tasks are part of this
- Often described as getting computers to understand natural language
Subscribe to:
Posts (Atom)