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.
| Original language | English |
|---|---|
| Pages (from-to) | 646-651 |
| Number of pages | 6 |
| Journal | International Journal of Advanced Computer Science and Applications |
| Volume | 9 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 International Journal of Advanced Computer Science and Applications.
Keywords
- Sentiment analysis
- Social media
- Survey
- Urdu
ASJC Scopus subject areas
- General Computer Science