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positive-reframing-en
dominguesm/positive-reframing-en
positive-reframing-en is a machine learning model from dominguesm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-4.0.
This model is a T5-base adjusted to the sentiment transfer task, where the objective is to reverse the sentiment polarity of a text without contradicting the original meaning. Positive reframing induces a complementar…
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- t5
- Access
- Public
- Created
- Nov 17, 2022
- Updated
- Mar 18, 2023
- SHA
- cdcaa9fd
Try a prompt
Model card
From the Hugging Face model README
Positive Perspectives with English Text Reframing
Model description
This model is a T5-base adjusted to the sentiment transfer task, where the objective is to reverse the sentiment polarity of a text without contradicting the original meaning. Positive reframing induces a complementary positive viewpoint (e.g. glass-half-full) escaping negative patterns. Based on the article arXiv:2204.02952.
How to use
The model uses one or more sentiment strategies concatenated with a sentence and will generate a sentence with the applied sentiment output. The maximum string length is 1024 tokens. Entries must be organized in the following format:
Input:
['growth']: totally fed up with this bid now! :-( haven't even thought about my presentation yet :-(
Available sentiment strategies:
| Strategy | Description |
|---|---|
| growth | viewing a challenging event as an opportunity for the author to specifically grow or improve himself. |
| impermanence | Saying that bad things don't last forever, will get better soon, and/or that other people have had similar difficulties. |
| neutralizing | Replacing a negative word with a neutral word. For example, “This was a terrible day” becomes “This was a long day”. |
| optimism | Focusing on things about the situation itself, at that moment, that are good (not just predicting a better future). |
| self_affirmation | Talking about what strengths the author already has, or values he admires, such as love, courage, perseverance, etc. |
| thankfulness | Expressing gratitude or gratitude with keywords like appreciate, happy for it, grateful for, good thing, etc. |
Usage
from transformers import pipeline
pipe = pipeline('summarization', "dominguesm/positive-reframing-en")
text = "['growth']: totally fed up with this bid now! :-( haven't even thought about my presentation yet :-("
pipe(text, max_length=1024)
Output:
# I haven't thought about my presentation yet, but I'm going to work hard to improve #my presentation, and I'll be better soon.
- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Languages
- en
- Created
- Nov 17, 2022
- Updated
- Mar 18, 2023