Affiliations: [a] Department of Information Technology, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, Sindh-Pakistan | [b] Engineer, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, Sindh-Pakistan | [c] Institute of Information & Communication Technology, (IICT), University of Sindh, Jamshoro, Sindh, Pakistan
Correspondence:
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Corresponding author. Irum Naz Sodhar, Post graduate Student, Department of Information Technology, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah 67480, Sindh-Pakistan. E-mail: [email protected].
Abstract: Sentiment Analysis have also an important role in natural language processing to evaluate and analyzing the public opinion, sentiments and views about social activities such as product, services, Academic institutes, organizations etc. Lot of work has been done on English language in natural language processing. However, it is found out from the literature that still huge research gap is available for the Romanized Sindhi and there sentiment analysis in the field of natural language processing and also no any trained data is available for the testing. Classification of sentiment of Romanized Sindhi text is very difficult task. For the evaluation of sentiment of Romanized Sindhi text easily available online Python tool were used. In this research work thousand words of Romanized Sindhi text/data were used for the sentiment classification. Also discussed issues in sentiment classification in Python tool on Romanized Sindhi text.
