Affiliation:
1. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia
2. Department of Electronics and Communication Engineering, Karpagam Academy of Higher Education, Coimbatore, India
Abstract
Textual information mining deals with various information extraction methods that can be evolved from the rapid growth of textual information through human machine interface for analyzing emotions which are taken by a facial expression. The problem of emotions in text is concerned with the fast development of web 2.0 documents that are assigned by users with emotion labels, namely: sadness, surprise, happiness, empathy, anger, warmness, boredom, and amusement. Such emotions can give a new characteristic for document categorization. Textual information mining deals with various information extraction methods that can evolved from the rapid growth of textual information through a human machine interface for analyzing emotions, which are taken by a facial expression. The problem of emotions from text is concerned with the fast development of web 2.0 documents that are assigned by users with emotion labels. Such emotions can give a new characteristic for document categorization.
Subject
Human-Computer Interaction,Information Systems
Reference15 articles.
1. Efficient Keyword Search on Structured and Semi-Structured Data from Relational Databases;P.Ananthi;International Journal of Inventions in Computer Science and Engineering,2015
2. Study on Mining Emotions from Literature: A Method Using Computers to Extract Opinionated Knowledge Nuggets;K.Asha;International Journal of Emerging Technology and Advanced Engineering,2012
3. Multi-class twitter emotion classification: A new approach.;R. C.Balabantaray;International Journal of Applied Information Systems,2012
4. Mining Social Emotions from Affective Text
Cited by
64 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献