An analysis of sentiments available in the opinionated text of Sindhi language while using computer machine

Abstract
The modern age has connected people all over the globe through the internet and web 2.0, therefore, commodities, products, personalities, and people are turned in to global entities now. People, all over the globe, are showing and writing their opinions and suggestions for various types of products, commodities, personalities, etc. in their native / mother languages. The Sindhi language is spoken, written, and read all over the globe by Sindhi people, therefore, Sindhi people are also using the Sindhi language for writing and showing any type of comment, suggestion and opinion on any type of commodity, product, personality, politician, etc. Lots of research studies have been done on sentiment analysis of various text corpora of various languages of the world to get the polarity of opinions, views, thoughts, etc. which are given by individuals or groups. To analyse the opinionated text of Sindhi language for sentiment and emotions, there is a research problem because very little research work has been done on this issue so far. In order to resolve this issue of sentiment analysis for the Sindhi language, a research model is designed based on rule-based systems, algorithms, and methods. The model extracts the sentiments from the Sindhi text corpus and assesses those sentiments to get the sentiment polarity. In this regard, specific weights/scales have been assigned to every sentiment-based word. Therefore, assessment of weighted sentiment-based words creates the confidence level of polarity and gives a significant result. The results of sentiment analysis are shown in the form of positive, negative, and neutral polarity. The purpose of the current research study is to solve the natural language processing problems of the Sindhi language, especially the sentiment analysis problem and provide a research platform for future research. Therefore, the current study suggests more research work on Sindhi text corpus for aspect-based sentiment analysis using rule-based systems, machine learning, and deep learning models and algorithms.

Dr. Mazhar Dhoti. (2020) سنڌي ٻوليَء جي راين/ تاثرات واري متن ۾ موجود احساسن جو ڪمپيوٽر مشين ذريعي تجزيو, Sindhi Boli (Research Journal), Volume-13, Issue-2.
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