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.

Khairullah Khan, Wahab Khan, Atta Ur Rahman, Aurangzeb Khan, Asfandyar Khan, Ashraf Ullah Khan and Bibi Saqia, “Urdu Sentiment Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090981

@article{Khan2018,
title = {Urdu Sentiment Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090981},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090981},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Khairullah Khan and Wahab Khan and Atta Ur Rahman and Aurangzeb Khan and Asfandyar Khan and Ashraf Ullah Khan and Bibi Saqia}
}