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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