Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519515
Title: | Ameliorated feature construction mechanisms for emotions identification in social media texts |
Researcher: | Pon Karthika K |
Guide(s): | Kavi Priya S |
Keywords: | Computer Science Computer Science Information Systems Distil BERT EFS-pBGSK Engineering and Technology Social Media Texts |
University: | Anna University |
Completed Date: | 2023 |
Abstract: | The feature selection and feature extraction techniques proposed in this thesis are applicable to any text-based emotion detection applications including intention mining, sentiment analysis, depression analysis, etc. Due to the pervasive nature of depression (Bueno-Notivol et al. 2021), its severity, and the prospective of utilizing texts from social media forums to detect depression, a case study of depression diagnosis is investigated in this research. And the experiments are carried out using the depression detection datasets collected from Twitter and Reddit. newline newline newline |
Pagination: | xxii, 146 p. |
URI: | http://hdl.handle.net/10603/519515 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 25.58 kB | Adobe PDF | View/Open |
02_prelin_pages.pdf | 1.12 MB | Adobe PDF | View/Open | |
03_content.pdf | 20.56 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 20.97 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 976.07 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 2.09 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.02 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.93 MB | Adobe PDF | View/Open | |
09_annexures.pdf | 118 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 86.56 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: