Public opinion extraction and visualization from Twitter social media platform / Ahmad Zaki Fitri Roslan
Sentiment analysis in social network has emerged as an alternative and effective method to study human behavioral through their social interaction in the social media. In the current scenario, the number of social media user is growing rapidly, results in the rise of micro blog's popularity amo...
Saved in:
Main Author: | Roslan, Ahmad Zaki Fitri |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/41565/1/41565.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visualizing the reputation of Malaysian communication service providers through twitter sentiment analysis using naïve bayes / Aidil Amirul Safwan Abdullah Sani
by: Abdullah Sani, Aidil Amirul Safwan
Published: (2020) -
Applying enterprise architecture framework into social framework: case study of e-kariah community portal / Naqiuddin Abd Aziz
by: Abd Aziz, Naqiuddin
Published: (2009) -
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli
by: Mohd Rosli, Roshaliza
Published: (2019) -
Identification of partial style in Malaysia furniture design using visual product analysis / Muhammad Shukery Ishak
by: Ishak, Muhammad Shukery
Published: (2022) -
Information needs and information seeking behaviour of Malaysian online shoppers / Aliza Mohamed Aris
by: Mohamed Aris, Aliza
Published: (2008)