Update README.md

README.md

@@ -3,6 +3,7 @@ language: pt
 tags:
   - seq2seq
   - t5
+  - positive_perspectives
 widget:
   - text: "['growth', 'neutralizing']: Sempre estressado e pensando em um monte de coisas ao mesmo tempo, preciso levar uma de cada vez, sobrecarga estressada, necessidade de reclamar"
   - text: "['growth', 'neutralizing', 'optimism']: Se eu não tiver um colapso mental antes do final do verão, será um milagre."
@@ -15,8 +16,8 @@ widget:
 
 ## Model description
 
-This model is a [PTT5][https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab] finetuned to sentiment transfer task, where the objective is to reverse the sentiment polarity of a text without contradicting the original meaning. Based on the paper [arXiv:2204.02952](https://arxiv.org/abs/2204.02952).
-
+ This model is a [PTT5](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) 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](https://arxiv.org/abs/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: