2022

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Browsing 2022 by Author "Farhatul-Ain"

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    Aspect Based Sentiment Analysis Using Machine learning and Deep learning
    (UMT, Lahore, 2022) Farhatul-Ain
    In recent years, the consumption of digital channels, including smart pathways, for government and commercial sector services has been expanded. The government and the commercial sector are trying to create services that can be accessed quickly and conveniently online, leveraging user feedback to construct and expand services and provide the essential values. As life is accelerated and people are seeking a quick and efficient way to consume services, Business owners become concerned in providing easily accessible services through users’ feedback. Thus, it is essential for stakeholders to take into consideration these opinions and comments for the purpose of developing and improving their applications and providing the intended value to their customers. The textual data including reviews and feedback is examined to identify the purpose of emotions, attitudes, and behaviors. Sentiment Analysis (SA) is the process of analyzing textual information and understanding the intent related to emotions, feelings and behavior SA comprises document-level, sentence-level, and aspect-level analysis. Subject of this study is aspect-based sentiment analysis (ABSA) of Yelp reviews. ABSA takes into consideration the study of a number of aspects or components of the inquiry. According to this research, machine learning and deep learning approaches have been applied to increase ABSA's performance in the Yelp reviews domain. Multinomial and SVM are utilized in Machine Learning methods. Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) with word embeddings are employed in our deep learning technique.