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Surbhi Sekhri,
Dr. Khushboo Bansal,
- Research Scholar, Department of Computer Science and Engineering, Desh Bhagat University, Mandi Gobindgarh, Punjab, India
- Assistant Professor, Department of Computer Science and Engineering, Desh Bhagat University, Mandi Gobindgarh, Punjab, India
Abstract
In this computer era, everyone is expressing their opinions or sentiments not only physically but over the social media platforms very frequently. Earlier, English was the only language for exchanging thought over the web however, in the recent times, feedbacks, surveys or comments by the users are expressed in regional language too. This leads to the need of analysing sentiments for better communication on the digital platforms. For example, if someone wants to book a hotel for a day, he may check for feedbacks and ratings for making his final decision. Sentiment analysis is the study that clarify and categorize views, feelings, and judgements in written information. Over the last decade, research into semantic analysis in the English language has expanded rapidly. Additionally, the number of online users who create content has been rising, engaging not only in English but also in their native languages. Most of the paperwork completed there to date has been in English, but there has been limited research in the field of Indian regional languages, particularly Punjabi. In this paper, we explored different methods employed to carry out opinion research and investigative work for vernacular languages like Hindi, Bengali, Punjabi and many more. Numerous deep learning and lexicon-based strategies have been suggested in the literature to automate the sentiment analysis process.
Keywords: Lexicon-based, Deep learning, Transformers, NLP, Polarity, Negation Handling
Surbhi Sekhri, Dr. Khushboo Bansal. A Review on Punjabi Language Sentiment Analysis Using Machine Learning. Journal of Computer Technology & Applications. 2025; 16(02):-.
Surbhi Sekhri, Dr. Khushboo Bansal. A Review on Punjabi Language Sentiment Analysis Using Machine Learning. Journal of Computer Technology & Applications. 2025; 16(02):-. Available from: https://journals.stmjournals.com/jocta/article=2025/view=0
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Journal of Computer Technology & Applications
| Volume | 16 |
| 02 | |
| Received | 28/05/2025 |
| Accepted | 23/06/2025 |
| Published | 12/07/2025 |
| Publication Time | 45 Days |
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