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---
title: Manohar Gowdru
published: true
taxonomy:
category: [phd2024]
tag: [lm,nlp]
author: Daniel Hladek
---
# Manohar Gowdru
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.
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#### Meeting 10.11.21
#### First tasks
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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 ](https://uvt.tuke.sk/wps/portal/uv/sluzby/vzdialeny-pristup-vpn ) to the university network to have access to the scientific databses.
Use scientific indexes to discover literature:
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- [Scopus ](https://www.scopus.com/ ) (available from TUKE VPN)
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- [Scholar ](httyps://scholar.google.com )
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Your review can start with:
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- [Hate speech detection: Challenges and solutions ]( https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221152#sec003 )
- [HateBase ](https://hatebase.org/ )
- [Resources and benchmark corpora for hate speech detection: a systematic review ](https://link.springer.com/article/10.1007/s10579-020-09502-8 )
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Get to know the Python programming language
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- Read [Dive into Python ](https://diveintopython3.net/ )
- Install [Anaconda ](https://www.anaconda.com/ )
- Try [HuggingFace Transformers library ]( https://huggingface.co/transformers/quicktour.html )
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