dc.contributor.authorLeo, Valerie Huishi
dc.date.accessioned2017-04-24T08:28:23Z
dc.date.available2017-04-24T08:28:23Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/70451
dc.description.abstractSocial Media has always been a platform where people are free to express their emotions and opinions. Using these emotions and opinions, Sentiment Analysis will be able take them into consideration and summarize how the general public feels about a certain item. However, Sentiment Analysis is an expensive and time-consuming process which involves; taking the raw data from the social media, and among all the raw data, retrieve those that are related, go through them one by one to obtain the sentiment behind them and then summarize everything into an overall picture. Hence, the aim of this project is to simplify the above mentioned process, allowing the user to perform Sentiment Analysis just by entering a keyword and the summarized results will be available for them. There are three ways that the results are displayed; pie chart, image and a regional result displayed on Google Map. Despite all the difficulties faced, the project is able to meet its objective and requirements. However there are still further enhancements that can be made.en_US
dc.format.extent46 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleWeb-based system for sentiment analysisen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCong Gaoen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeCOMPUTER SCIENCEen_US


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