Roman Urdu Opinion Mining System (RUOMiS)

TL;DR

This paper presents RUOMiS, a system that extracts, translates, and analyzes Roman Urdu customer comments to determine product ratings, aiding online purchasing decisions for native and non-native speakers.

Contribution

The paper introduces a novel system for Roman Urdu opinion mining, including translation and sentiment analysis, tailored for online business reviews.

Findings

Successfully extracts Roman Urdu comments

Accurately determines sentiment polarity

Provides reliable product ratings

Abstract

Convincing a customer is always considered as a challenging task in every business. But when it comes to online business, this task becomes even more difficult. Online retailers try everything possible to gain the trust of the customer. One of the solutions is to provide an area for existing users to leave their comments. This service can effectively develop the trust of the customer however normally the customer comments about the product in their native language using Roman script. If there are hundreds of comments this makes difficulty even for the native customers to make a buying decision. This research proposes a system which extracts the comments posted in Roman Urdu, translate them, find their polarity and then gives us the rating of the product. This rating will help the native and non-native customers to make buying decision efficiently from the comments posted in Roman Urdu.