Relation extraction of medical concepts using categorization and sentiment analysis
In healthcare services, information extraction is the key to understand any corpus-based knowledge. The process becomes laborious when the annotation is done manually for the availability of a large number of text corpora. Hence, future automated extraction systems will be essential for groups of ex...
Saved in:
Main Authors: | Mondal, Anupam, Cambria, Erik, Das, Dipankar, Hussain, Amir, Bandyopadhyay, Sivaji |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/141700 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
An introduction to concept-level sentiment analysis
by: Cambria, E.
Published: (2014) -
Towards a Chinese common and common sense knowledge base for sentiment analysis
by: Cambria, E., et al.
Published: (2014) -
Learning multi-grained aspect target sequence for Chinese sentiment analysis
by: Peng, Haiyun, et al.
Published: (2020) -
On categorization : stick to the facts of the languages
by: LaPolla, Randy J.
Published: (2020) -
New avenues in opinion mining and sentiment analysis
by: Cambria, E., et al.
Published: (2014)