This paper presents a robust methodology for sentiment analysis of comments leveraging advanced techniques such as Bag of Words (BoW), K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), and Discriminant Analysis. Sentiment analysis plays a crucial role in understanding user opinions, attitudes, and emotions expressed in textual data. By employing BoVW, we extract discriminative features from comments, capturing both semantic and visual cues. These features are then utilized in conjunction with machine learning algorithms including K-NN, SVM, and Discriminant Analysis to classify sentiments accurately. The proposed approach offers a comprehensive framework for sentiment classification, achieving high accuracy and reliability across diverse datasets. Experimental results demonstrate the effectiveness and scalability of the proposed methodology, showcasing its potential for real-world applications in sentiment analysis of comments across various domains.
Opinion Analysis, K-NN, BOW, SVM, Discriminant Analysis
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.