Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/567118
Title: | On Detection and Marking of Fine Grained Emotions in Punjabi Text |
Researcher: | Ubeeka Jain |
Guide(s): | Parminder Singh |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | I. K. Gujral Punjab Technical University |
Completed Date: | 2024 |
Abstract: | Human s ability to make wise decisions and adapt to circumstances more effectively increases as they become more self-aware and observant of their own emotions. The ability to recognize an individual s mental and emotional feelings is known as emotion detection. These states of mind can be happiness, joy, anger, sadness, disgust, fear, love, abuse, hopefulness, information, forgiveness, blame, guilt, hopelessness, pride, sorrow, instructions, thankfulness, confusion, etc. Emotions play a significant newlinerole in information sharing between people in real life. Data in text form can be gathered for the development of an emotion detection system from a variety of realworld events, blogs, websites, newspapers, and surveys, among other sources. newline newline |
Pagination: | All pages |
URI: | http://hdl.handle.net/10603/567118 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 23.27 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 4.68 MB | Adobe PDF | View/Open | |
03_content.pdf | 116.81 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 137.93 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 568.99 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 181.9 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 449.86 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 316.06 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 316.66 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 369.16 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 485.12 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 219.08 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 136.66 kB | Adobe PDF | View/Open |
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