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AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages using Twitter Datasets : https://codalab.lisn.upsaclay.fr/competitions/7320

Shell 1.76% Python 48.13% Jupyter Notebook 49.60% Dockerfile 0.50%

afrisent-semeval-2023's Introduction

AfriSenti-SemEval 2023 Shared Task 12

This repo contains the data for the AfriSenti-SemEval 2023 Shared Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

More information can be found at the:

Starter kit

We provide a starter kit for the compeition to create a baseline result. You can open the starter kit in Colab Notebook and run the baseline system. The resultant expirement can be submitted to codalab to ensure all submission format is clear. You can then work on your own system towards the competition.

To run the Colab Notebook, fork this repo first and click the badge "open on colab" on the forked version.

  • Task A: Open In Colab
  • Task B: Open In Colab

Training and Evaluation Data

We provide the training and dev set for each task below.

Sentiment Lexicon

We provide sentiment lexicon in some languages that may be useful for the task.

License

Shield: CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

afrisent-semeval-2023's People

Contributors

shmuhammadd avatar abumafrim avatar israelabebe avatar seyyaw avatar

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