Sentiment Analysis for Product Reviews Using Deep Learning Techniques

Sentiment analysis or opinion mining, is the process of identifying and extracting subjective information from source materials. It is important in the context of user-generated content, such as tweets or Facebook posts, or Amazon product reviews, to understand the overall sentiment towards a certain topic or brand. This can provide valuable insights for businesses and organizations looking to improve their online reputation and engagement with customers. Traditionally, sentiment analysis has been handled through manual methods such as reading through and categorizing individual pieces of content. However, with the advent of big data and machine learning, automated methods have become more prevalent in the field. Methods such as natural language processing and machine learning algorithms are commonly used in sentiment analysis. This research paper focuses on a hybrid method for sentiment analysis on product reviews. Compared to other methods of deep learning and machine learning this hybrid approach excels in overall performance.