Product Review Analysis using Big Data Analytics

Sentiment Analysis is the process of using text analytics to mine various data sources for opinions. Often, sentiment analysis is done on the data that is got from the Internet and from various social media platforms. Because the content collected from the internet is unstructured, we need tools that can process and analyze this disparate data. Hence we make use of Big Data to handle the different sources and formats of the structured and unstructured data. In particular consumer reviews of a product are given in textual format, we first parse the reviews and classify them into positive and negative and then send these datasets to the Hadoop File System (HDFS) to analyze them. This helps the purchaser to have some knowledge about the product's pros and cons and decide which product to buy. Citation: Jovitha Christina .R.H, Loyola-ICAM College of Engineering and Technology Chennai, India; Mary Caroline Nikitha ,Loyola-ICAM College of Engineering and Technology Chennai, India; Kavitha .V ,Loyola-ICAM College of Engineering and Technology Chennai, India. "Product Review Analysis using Big Data Analytics." Global Research and Development Journal For Engineering : 19 - 26.