The short research was about Sentiment analysis, it’s application and it’s relation to what we studied in our class. Sentiment analysis is an analysis that extracts subjective information from the source material. This way of contextual mining is primarily used to classify the source material as positive, negative or neutral. My goal was to research about the topic to connect it to data analytics. I learned about how unstructured data can be converted into semi-structured data (CSV, JSON, XML) and perform analysis on that to draw inference. With the use of APIs, data analysts perform sentiment analysis and it’s used in many enterprises to learn about customer behavior, purchase patterns and public opinon to implement new strategies, introduce a product, revise a commercial.etc.
Link to the project: http://community.mis.temple.edu/ashlinbc/research/
Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.Once approved, the description is automatically displayed in a post on your e-portfolio