2.5 KiB
2.5 KiB
| title | published | taxonomy | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Manohar Gowdru Shridharu | true |
|
Manohar Gowdru Shridharu
Beginning of the study: 2021
Disertation Thesis
in 2023/24
Hate Speech Detection
Goals:
- Write a dissertaion thesis
- Publish 2 A-class journal papers
Minimal Thesis
(preliminary dissertaion and exam in 2022/23)
Goals:
- Provide state-of-the-art overview.
- Formulate dissertation theses (describe scientific contribution of the thesis).
- Prepare to reach the scientific contribution.
- Publish 4 conference papers.
First year of PhD study
Goals:
- Provide state-of-the-art overview.
- Read and make notes from at least 100 scientific papers or books.
- Publish at least 2 conference papers.
- Prepare for minimal thesis.
Resources:
Meeting 10.12.21
Tasks
- Pick a hatespeech dataset.
- Pick an approach and Python library for HS classification.
- Create a GIT repository and share your experiment files. Do not commit data files, just links how to download the files.
- Perform and evaluate experiments.
Meeting 10.11.21
First tasks
Prepare a report where you will explain:
- what is hate speech detection,
- where and why you can use hate-speech detection,
- what are state-of-the-art methods for hate speech detection,
- how can you evaluate a hate-speech detection system,
- what datasets for hate-speech detection are available,
The report should properly cite scientific bibliographical sources. Use a bibliography manager software, such as Mendeley. Create a VPN connection to the university network to have access to the scientific databses. Use scientific indexes to discover literature:
Your review can start with:
- Hate speech detection: Challenges and solutions
- HateBase
- Resources and benchmark corpora for hate speech detection: a systematic review
Get to know the Python programming language
- Read Dive into Python
- Install Anaconda
- Try HuggingFace Transformers library