Create README.md

README.md

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+---
+language: "en"
+tags:
+- roberta
+- sentiment
+- twitter
+
+widget:
+- text: "This looks tasty. Where can I buy it??"
+- text: "Now I want this, too."
+- text: "You look great today!"
+
+---
+
+This RoBERTa-based model can classify expressed purchase intentions in English language text in 2 classes:
+
+- purchase intention 🤩
+- no purchase intention 😐
+
+The model was fine-tuned on 2,000 manually annotated social media posts. 
+The hold-out accuracy is 95% (vs. a balanced 50% random-chance baseline). 
+For details on the training approach see Web Appendix F in Hartmann et al. (2021). 
+
+# Reference
+Please cite [this paper](https://journals.sagepub.com/doi/full/10.1177/00222437211037258) when you use our model. Feel free to reach out to [j.p.hartmann@rug.nl](mailto:j.p.hartmann@rug.nl) with any questions or feedback you may have.
+```
+@article{hartmann2021,
+  title={The Power of Brand Selfies},
+  author={Hartmann, Jochen and Heitmann, Mark and Schamp, Christina and Netzer, Oded},
+  journal={Journal of Marketing Research}
+  year={2021}
+}
+```