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| dc.contributor.author | Tariq Aziz, 01-235161-067 | |
| dc.contributor.author | Omar Farooq, 01-235161-081 | |
| dc.date.accessioned | 2021-01-12T00:35:28Z | |
| dc.date.available | 2021-01-12T00:35:28Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/10753 | |
| dc.description | Supervised by Mr. Muhammad Umar Khattak | en_US |
| dc.description.abstract | The main goal of this project is to provide useful insights into the Hotel Reviews and keep the hotelier aware of it’s customer sentiments. The system will eliminate the manual work of gathering reviews and analysis. The user will be shown an analysis of their reviews in visuals and textual form. The system will be able to filter the reviews for different categories that are Parts of Speech, Numeric, trends etc. to provide the user with the relevant information he requires. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Bahria University Islamabad Campus | en_US |
| dc.relation.ispartofseries | BS (IT);MFN 9013 | |
| dc.subject | Computer Science | en_US |
| dc.title | Sentiment analysis of hotel reviews using text mining | en_US |
| dc.type | Project Reports | en_US |
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This item appears in the following Collection(s)
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BS-IT (IC-FYP) [127]