models finiteautomata bertweet base sentiment analysis - Azure/azureml-assets GitHub Wiki

finiteautomata-bertweet-base-sentiment-analysis

Overview

Repository: https://github.com/finiteautomata/pysentimiento/

Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is BERTweet, a RoBERTa model trained on English tweets.

Uses POS, NEG, NEU labels.

License

pysentimiento is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses.

  1. TASS Dataset license
  2. SEMEval 2017 Dataset license

Model Evaluation samples

Task Use case Dataset Python sample (Notebook) CLI with YAML
Text Classification Sentiment Classification SST2 evaluate-model-sentiment-analysis.ipynb evaluate-model-sentiment-analysis.yml

Inference samples

Inference type Python sample (Notebook)
Real time sdk-example.ipynb
Real time text-classification-online-endpoint.ipynb

Sample inputs and outputs

Sample input

{
    "input_data": [
        "Today was an amazing day!",
        "It was an unfortunate series of events."
    ]
}

Sample output

[
  {
    "label": "POS",
    "score": 0.9921929240226746
  },
  {
    "label": "NEG",
    "score": 0.9493512511253357
  }
]

Version: 13

View in Studio: https://ml.azure.com/registries/azureml/models/finiteautomata-bertweet-base-sentiment-analysis/version/13

Properties

SHA: 924fc4c80bccb8003d21fe84dd92c7887717f245

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