Affiliation:
1. Vel Tech High Tech Dr. Sakunthala Dr. Rangarajan Engineering College, India
Abstract
In today's digital era, the role of social media cannot be overstated as it serves as a crucial platform for exchanging data and allows individuals to express their thoughts and opinions. One of the key procedures in this context is sentiment analysis, which involves analyzing the sentiments and polarity of people's thoughts to determine whether a post or comment has received positive, negative, or neutral feedback. This procedure plays a significant role in understanding the overall sentiment surrounding a topic or post. To improve accessibility and streamline operations, this team has developed a dynamic website that integrates various functionalities to enhance the sentiment analysis process. The system utilizes PHP and leverages the Instagram API, enabling them to gather real-time data from Instagram posts and comments. By doing so, they aim to enhance the accuracy of sentiment analysis, providing users with a comprehensive understanding of the sentiments expressed. The proposed system offers several benefits.
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