Text Mining and Sentimental Analysis

Find a readily available sentiment text data set (see Technology Insights 7.2 (page 329) in your textbook(attached document) for a list of popular data sets) and download it into your computer. If you have an analytics tool that is capable of text mining, use that; if not, download RapidMiner (rapid-i.com) and install it. Also install the text analytics add-on for RapidMiner. Process the downloaded data using your text mining tool (i.e., convert the data into a structured form). Build models and assess the sentiment detection accuracy of several classification models (e.g., support vector machines, decision trees, neural networks, logistic regression, etc.). Write a detailed report where you can explain your findings and your experiences.