Paper Info
Title
A Sentiment Analysis Lexical Resource and Dataset for Government Smart Apps Domain.
Abstract
Sentiment resources are essential components for developing applications for Sentiment Analysis (SA). Common publicly available datasets such as products, restaurants and movies reviews usually fulfil the researchers needs in order to conduct their experiments. However, for specific domains, the needed dataset sources could be difficult to find. This signifies the need to construct domain specific datasets and lexicons which are vital to evaluate SA tasks. In this paper, we present the work that has been done in order to produce a unique dataset that consists of government smart apps domain aspects and opinion words. Additionally, we explain the approach that was carried out to measure the sentiment scores to opinion words and build the desired lexicons. A general-purpose data annotation and preparation tool was developed for facilitating the development of SA lexical resources and dataset for government smart apps domain.
Year
DOI
Venue
2018
10.1007/978-3-319-99010-1_21
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018
Keywords
DocType
Volume
Dataset construction,Lexical resources,Sentiment Analysis,Aspect-based sentiment lexicons,Government smart apps,Manual annotation
Conference
845
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Omar Alqaryouti111.04
Nur Siyam200.68
Khaled F. Shaalan350639.80