Hybrid approach used to analyze the sentiments of romanized text (Sindhi)

Sodhar, Irum Naz and Sulaiman, Suriani and Buller, Abdul Hafeez and Sodhar, Anam Naz (2023) Hybrid approach used to analyze the sentiments of romanized text (Sindhi). International Journal of Advanced Computer Science and Applications, 14 (3). pp. 538-543. ISSN 2158-107X E-ISSN 2156-5570

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Abstract

Sentiment analysis is an important part of natural language processing (NLP). This study evaluated the sentiment of Romanized Sindhi Text (RST) using a hybrid approach and ground truth values. The methodology of sentiment analysis involves three major steps: input data, process on tool, analysis of data and evaluation of results. One hundred RST sentences were used in this study's sentiment analysis, which can be positive, neutral, or negative. The statements in the corpus of this study are simple to understand and are used in everyday life. This research used an online Python tool to process a text and get results in the form of outcomes. The results showed that 86% of the sentences have neutral sentiments, 9% of the total results of sentiment analysis have negative sentiments, and only 5% of sentences of Romanized Sindhi Text have positive sentiments. The accuracy of the RST was measured on an online calculator and the value was 87.02% on the basis of ground truth values. An error ratio of 12.98% was calculated on the basis accuracy found on the online calculator of confusion matrix.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Sentiment analysis; natural language processing; hybrid approach; python tool; Romanized Sindhi
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Suriani Sulaiman
Date Deposited:	29 Dec 2023 12:11
Last Modified:	29 Dec 2023 12:11
URI:	http://irep.iium.edu.my/id/eprint/109434

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