https://github.com/dcavar/antisemitismdatathon2020

This is project material for the Antisemitism Datathon and Hackathon 2020 at Indiana University

https://github.com/dcavar/antisemitismdatathon2020

Science Score: 13.0%

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Keywords

antisemitism corpus-data flair hatespeech machine-learning nltk python pytorch social-media spacy tensorflow twitter
Last synced: 4 months ago · JSON representation

Repository

This is project material for the Antisemitism Datathon and Hackathon 2020 at Indiana University

Basic Info
  • Host: GitHub
  • Owner: dcavar
  • License: apache-2.0
  • Default Branch: master
  • Size: 1.21 MB
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  • Stars: 6
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
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antisemitism corpus-data flair hatespeech machine-learning nltk python pytorch social-media spacy tensorflow twitter
Created almost 6 years ago · Last pushed almost 6 years ago
Metadata Files
Readme License

README.md

Antisemitism Datathon 2020

(C) 2020 by Damir Cavar and Günther Jikeli

The information and code examples are licensed under the Apache License Version 2.0.

This is project material for the Antisemitism Datathon and Hackathon 2020 at Indiana University at Bloomington.

This Datathon and Hackathon is a collaborative project of Günther Jikeli from the Institute for the Study of Contemporary Antisemitism and Damir Cavar's NLP-Lab.org at Indiana University at Bloomington!

Relevant Links

Technologies

We provide an NLP pipeline with detailed linguistic analysis: tokenization, lemmatization, splitting text into sentences, part-of-speech tagging, named entity annotation, dependency parsing, constituent parsing, sentiment detection, and coreference and anaphora resolution:

This pipeline is an integration of RESTful Microservices that take as input some text and return a JSON-NLP formated output. This service requires a login and password. We will share this with you during the meetings.

The linguistic annotations enable modeling of classifiers using deeper linguistic analysis.

In addition to that, we provide code examples for the following NLP and Machine Learning libraries, to develop probabilistic, neural, and/or symbolic classifiers for the corpus material:

Data Sets and Formats

The Antisemitism Twitter corpus will be provided to you in a specific CSV format. We will also provide a CoNLL formated version of the data. These are formats that the different Machine Learning libraries for NLP mentioned above can read.

You might want to have a look at the different corpus or linguistic data formats:

Tools

For testing the NLP API RESTful Microservices you might want to have a look at tools like:

Owner

  • Name: Damir Cavar
  • Login: dcavar
  • Kind: user
  • Location: Bloomington, IN
  • Company: Indiana University

GitHub Events

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Committers

Last synced: 8 months ago

All Time
  • Total Commits: 8
  • Total Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
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  • Commits: 0
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  • Avg Commits per committer: 0.0
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Damir Cavar d****r@m****m 8
Committer Domains (Top 20 + Academic)
me.com: 1

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Last synced: 8 months ago

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  • Average comments per issue: 0
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Past Year
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  • Pull requests: 0
  • Average time to close issues: N/A
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  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
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