| dc.contributor.author | Rashid, Rumana | |
| dc.description.abstract | Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on social media, e.g. Twitter. Twitter is one of the most popular worldwide social-networking services. Twitter is a widely-used way to get people’s opinion about some topics when you read their posts. In this study, a model was coded in R environment and implemented and tested using a large dataset to estimate people’s opinions concerning specific topics that can be used for implementing better decision in market research. To achieve this goal, a large set of Twitter data along with a reference to a specific business was captured and fed to two models namely, Naïve Bayes and Support Vector Machine (SVM) to classify them. Then, I obtained the result at identifying percentage of positive and negative opinions towards the specific business. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Consumer Sentiment Analysis Using Twitter | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2017-05-09T14:01:46Z | |
| dc.date.available | 2017-05-09T14:01:46Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/10365/25984 | |
| dc.subject | Sentiment analysis. | en_US |
| dc.subject | Twitter analysis. | en_US |
| dc.subject | Support vector machine. | en_US |
| dc.subject | Naive Bayes. | en_US |
| dc.subject.lcsh | Consumer behavior. | en_US |
| dc.subject.lcsh | Consumers -- Attitudes. | en_US |
| dc.subject.lcsh | Twitter. | en_US |
| dc.subject.lcsh | Data mining. | en_US |
| dc.subject.lcsh | R (Computer program language) | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Software Engineering | en_US |
| ndsu.advisor | Nygard, Kendall | |
