Emotion Classification and Crowd Source Sensing; A Lexicon Based Approach
In today's world, social media provides a valuable platform for conveying expressions, thoughts, point-of-views, and communication between people, from diverse walks of life. There are currently approximately 2.62 billion active users' social networks, and this is expected to exceed 3 bill...
Main Authors: | Rashid Kamal, Munam Ali Shah, Carsten Maple, Mohsin Masood, Abdul Wahid, Amjad Mehmood |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8620685/ |
Similar Items
-
Perbandingan Metode Lexicon-based dan SVM untuk Analisis Sentimen Berbasis Ontologi pada Kampanye Pilpres Indonesia Tahun 2019 di Twitter
by: Ahmad Choirun Najib, et al.
Published: (2019-11-01) -
Towards Detecting the Crowd Involved in Social Events
by: Wei Huang, et al.
Published: (2017-10-01) -
Toward Modeling Emotional Crowds
by: Lei Lyu, et al.
Published: (2018-01-01) -
Lexicon-Based Sentiment Analysis Using Particle Swarm Optimization
by: Kristína Machová, et al.
Published: (2020-08-01) -
EMOTIONAL CONTAGION AND MOOD IN CROWD SERVING AS AUDIENCE
by: Beno Arnejcic
Published: (2015-06-01)