Implementing A.I based solutions to understand & predict consumer sentiment
| bracu.degree.level | Undergraduate | |
| bracu.type.group | Student Works | |
| datacite.rights | Open Access | |
| dc.contributor.advisor | Akhtar, Ms. Afsana | |
| dc.contributor.author | Bin Ahmed, Omar | |
| dc.contributor.department | BRAC Business School | |
| dc.date.accessioned | 2023-07-16T05:17:09Z | |
| dc.date.available | 2023-07-16T05:17:09Z | |
| dc.date.copyright | 2022 | |
| dc.date.issued | 2022-09 | |
| dc.description | Cataloged from PDF version of internship report. | |
| dc.description | Includes bibliographical references (page 32). | |
| dc.description | This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2022. | en_US |
| dc.description.abstract | This report reflects my 12 weeks of work experience at Tech Garlic LTD. And also, my observation and workflow of analyzing customers’ sentiments of different brands using an Artificial Intelligence-based solution called DotKom. This report shows the importance and ease of implementing artificial intelligence-based solutions to understand & predict consumer sentiment. Understanding customer sentiment can be a difficult process and in the modern age of social media marketing without a big and accurate data set it is almost impossible to determine customer sentiment in real time. Artificial Intelligence-based solutions like DotKom makes the process fast and responsive. It helps campaign planners like myself to create successful marketing campaigns and also enables brands to build better connections with their customers. Adding to this fact this report also showcases my responsibilities as a campaign planner and also my experience working in the organization. Along with these this report will also provide business strategies, operational practices, and the financial performance of the organization. This report will also reflect on the challenges and limitations of Artificial Intelligence-based -based solutions. Lastly, some recommendations have been provided for future improvement of the tech solution. | en_US |
| dc.description.degree | Bachelor of Business Administration | |
| dc.description.statementofresponsibility | Omar Bin Ahmed | |
| dc.format.extent | 33 pages | |
| dc.identifier.other | ID: 17104126 | |
| dc.identifier.uri | http://hdl.handle.net/10361/18836 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | Brac University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Tech Garlic LTD. | en_US |
| dc.subject | Internship | en_US |
| dc.subject.lcsh | Artificial intelligence. | |
| dc.title | Implementing A.I based solutions to understand & predict consumer sentiment | en_US |
| dc.type | Internship Report | en_US |