Sentiment Analysis using SVM: A Systematic Literature Review
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
The world has revolutionized and phased into a new era, an era which upholds the true essence of technology and digitalization. As the market has evolved at a staggering scale, it is must to exploit and inherit the advantages and opportunities, it provides. With the advent of web 2.0, considering the scalability and unbounded reach that it provides, it is detrimental for an organization to not to adopt the new techniques in the competitive stakes that this emerging virtual world has set along with its advantages. The transformed and highly intelligent data mining approaches now allow organizations to collect, categorize, and analyze users’ reviews and comments from micro-blogging sites regarding their services and products. This type of analysis makes those organizations capable to assess, what the consumers want, what they disapprove of, and what measures can be taken to sustain and improve the performance of products and services. This study focuses on critical analysis of the literature from year 2012 to 2017 on sentiment analysis by using SVM (support vector machine). SVM is one of the widely used supervised machine learning techniques for text classification. This systematic review will serve the scholars and researchers to analyze the latest work of sentiment analysis with SVM as well as provide them a baseline for future trends and comparisons.
Authors and Affiliations
Munir Ahmad, Shabib Aftab, Muhammad Salman Bashir, Noureen Hameed
Keywords
Related Articles
- EP ID EP276767
- DOI 10.14569/IJACSA.2018.090226
- Views 99
- Downloads 0
A Secured Communication Based On Knowledge Engineering Technique
Communication security has become the keynote of the "e" world. Industries like eComm, eGov were built on the technology of computer networks. Those industries cannot afford security breaches. This paper presents a metho...
Identification and Formal Representation of Change Operations in LOINC Evolution
LOINC (Logical Observation Identifiers Names and Codes) is one of the standardized health ontologies that is widely used by practitioners in the health sector. Like other ontologies in health field, LOINC evolves. This r...
AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
The edge detection on the images is so important for image processing. It is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Curr...
New electronic white cane for stair case detection and recognition using ultrasonic sensor
Blinds people need some aid to interact with their environment with more security. A new device is then proposed to enable them to see the world with their ears. Considering not only system requirements but also technolo...
A Comparison of Near-Hidden and Information Asymmetry Interference Problems in Wireless Mesh Networks
Multi-radio Multi-channel (MRMC) Wireless Mesh Networks (WMNs) have made quick progress in current years to become the best option for end users due to its reliability and low cost. Although WMNs have already been used s...