| dc.contributor.author | Narra, Sravan Raghu Kumar | |
| dc.description.abstract | In recent years, people are considering healthy diet habits and many of them are trying to track and maintain their daily diet and consumption. To assist them, there are many applications available online and those applications are capable of recording calories for the ingredients consumed, but users must check individual calories and calculate total calories manually. In this paper, we propose a new technique to calculate calories for a given recipe in multiple formats. The new technique uses tokenization, hashing techniques and fuzzy matching for entity extraction and finally does the unit conversion to calculate calories. We compared the results of the proposed technique with the outcomes of the existing applications. These results proved that the new technique has the capacity to produce similar results compared to that of the existing applications and able to calculate calories for recipes in the different formats available on the internet. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Semantics-Based Calorie Calculator | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2017-04-26T00:47:35Z | |
| dc.date.available | 2017-04-26T00:47:35Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/10365/25969 | |
| dc.subject.lcsh | Food -- Caloric content. | en_US |
| dc.subject.lcsh | Data mining. | 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 | Computer Science | en_US |
| ndsu.advisor | Li, Juan | |
