Urdu Sentiment Analysis
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 9
Abstract
Internet is the most significant source of getting up thoughts, surveys for a product, and reviews for any type of service or activity. A Bulky amount of reviews are produced on daily basis on the cyberspace about online products and objects. For example, many individuals share their remarks, reviews and feelings in their own language utilizing social media networks such as twitter and so on. Considering their colossal Quantity and size, it is exceedingly knotty to look at with and interpret specified surveys. Sentiment Analysis (SA) aims at extracting people’s opinion, felling and thought from their reviews in social websites. SA has recently gained significant consideration, however the vast majority of the resources and frameworks constructed so far are tailored to English as well as English like Western languages. The requirement for designing frameworks for different dialects is expanding, particularly as blogging and micro-blogging sites are becoming popular. This paper presents a comprehensive review of approaches of Urdu sentiment analysis and outlines of relevant gaps in the literature.
Authors and Affiliations
Khairullah Khan, Wahab Khan, Atta Ur Rahman, Aurangzeb Khan, Asfandyar Khan, Ashraf Ullah Khan, Bibi Saqia
An Adaptive Key Exchange Procedure for VANET
VANET is a promising technology for intelligent transport systems (ITS). It offers new opportunities aiming at improving the circulation of vehicles on the roads and improving road safety. However, vehicles are interconn...
An Empirical Investigation on a Tool-Based Boilerplate Technique to Improve Software Requirement Specification Quality
The process of producing software requirements specification (SRS) is known to be challenging due to the amount of effort, skills and experience needed in writing good quality SRS. A tool-based boilerplate technique is i...
SVD Based Image Processing Applications: State of The Art, Contributions and Research Challenges
Singular Value Decomposition (SVD) has recently emerged as a new paradigm for processing different types of images. SVD is an attractive algebraic transform for image processing applications. The paper proposes an...
Algorithms for Content Distribution in Networks
In this paper an algorithm is presented which helps us to optimize the performance of content distribution servers in a network. If it is following the pay-as-you-use model then this algorithm will result in significant...
Algorithm to Match Ontologies on the Semantic Web
It has been recognized that semantic data and knowledge extraction will significantly improve the capability of natural language interfaces to the semantic search engine. Semantic Web technology offers a vast scale of sh...