2018
DOI: 10.26483/ijarcs.v9i1.5472
|View full text |Cite
|
Sign up to set email alerts
|

A Conceptual Model for Understanding the Impact of Textual Emotion Mining

Abstract: The widespread adoption of social media applications in today's internet world has created a revolution in the field of Textual emotion mining (TEM). TEM has gained a significant amount of interest in the past few years where a large community of researchers is focusing on the efficient extraction of emotions, ignoring the influential behavior of emotions. This paper presents a unique study to focus on the outcome of research on Textual Emotion Mining instead on the process of emotion mining. It classifies the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…• Existing text classification techniques such as [53] and [54] take into account informal words and communication formats on social media, which is noise in the data and can lead towards low accuracy and imprecision; and…”
Section: Problem Statementmentioning
confidence: 99%
“…• Existing text classification techniques such as [53] and [54] take into account informal words and communication formats on social media, which is noise in the data and can lead towards low accuracy and imprecision; and…”
Section: Problem Statementmentioning
confidence: 99%