From 830425a99fcfd27dd714f622e6e3fc2bac4fff55 Mon Sep 17 00:00:00 2001 From: dano Date: Thu, 14 Jul 2022 09:05:28 +0000 Subject: [PATCH] Update 'pages/students/2021/manohar_gowdru_shridharu/README.md' --- .../2021/manohar_gowdru_shridharu/README.md | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/pages/students/2021/manohar_gowdru_shridharu/README.md b/pages/students/2021/manohar_gowdru_shridharu/README.md index a78fa781d1..c1a5025b36 100644 --- a/pages/students/2021/manohar_gowdru_shridharu/README.md +++ b/pages/students/2021/manohar_gowdru_shridharu/README.md @@ -52,6 +52,39 @@ Resources: - [Resources and benchmark corpora for hate speech detection: a systematic review] (https://link.springer.com/article/10.1007/s10579-020-09502-8) +14.7: + + Installed VPN - Done + Setup School GITHUB - Done + Set up a repository for experiments, use the school git server git.kemt.fei.tuke.sk. - Done + Pick a feasible dataset and method to start with. - Done + Try to prepare an experiment with the selected dataset. - Done + Summarize the results in the table and publish the table on git. . - Done + Finish experiments, upload source codes into git, and describe the experiments. . - Done + For preparing a web application with demo, learn about streamlit. . - Done + Publish experiments into the repository. . - Done + +Todo: + Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers. + +Papers : + +- https://aclanthology.org/2020.peoples-1.6.pdf +- https://aclanthology.org/2022.ltedi-1.14/ +- https://arxiv.org/abs/2108.03867 +- https://arxiv.org/pdf/2112.15417v4.pdf +- https://arxiv.org/ftp/arxiv/papers/2202/2202.04725.pdf +- https://github.com/manikandan-ravikiran/DOSA/blob/main/EACL_Final_Paper.pdf +- https://aclanthology.org/2020.icon-main.13.pdf +- http://ceur-ws.org/Vol-3159/T6-4.pdf +- https://www.researchgate.net/publication/353819476_Hope_Speech_detection_in_under-resourced_Kannada_language +- https://www.researchgate.net/publication/346964457_Creation_of_Corpus_and_analysis_in_Code-Mixed_Kannada-English_Twitter_data_for_Emotion_Prediction +- https://www.semanticscholar.org/paper/Detecting-stance-in-kannada-social-media-code-mixed-SrinidhiSkanda-Kumar/f651d67211809f2036ac81c27e55d02bd061ed64 +- https://www.academia.edu/81920734/Findings_of_the_Sentiment_Analysis_of_Dravidian_Languages_in_Code_Mixed_Text +- https://competitions.codalab.org/competitions/30642#learn_the_details +- https://paperswithcode.com/paper/creation-of-corpus-and-analysis-in-code-mixed +- https://paperswithcode.com/paper/hope-speech-detection-in-under-resourced#code + ## Meeting 13.6. - Implemented a Mayfly and Horse Heard Algorithms in Python and Matlab for HS datasets.