An expandable Arabic lexicon and valence shifter rules for sentiment analysis on twitter
Sentiment analysis (SA) refers as computational and natural language processing techniques used to extract subjective information expressed in a text. In this SA study, three main problems are addressed: a) absence of resources on Palestinian Arabic dialect (PAL), b) emergence of new sentiment words...
Saved in:
Main Author: | Ihnaini, Baha' Najim Salman |
---|---|
Format: | Thesis |
Language: | eng eng eng |
Published: |
2019
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/8699/1/s900147_01.pdf https://etd.uum.edu.my/8699/2/s900147_02.pdf https://etd.uum.edu.my/8699/3/s900147_references.docx |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An enhanced approach in lexicon-based sentiment analysis for social issues /
by: Mehmood, Yasir
Published: (2018) -
Twitter sentiment mining : a multi domain analysis /
by: Shahheidari, Saeideh
Published: (2012) -
A semi-automatic integrated framework for non-English sentiment lexicons /
by: Kaity, Mohammed Salem Abdullah
Published: (2020) -
Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat
by: Mamat, Fatimah
Published: (2012) -
MELex: a new lexicon for sentiment analysis in mining public opinion of Malaysia affordable housing projects
by: Nurul Husna, Mahadzir
Published: (2020)