
# Discord Sentiment Analysis - (Context: NFTs) 

This is a model derived from Twitter-roBERTa-base model trained on ~10K Discord messages from NFT-based Discord servers and finetuned for sentiment analysis with manually labelled data. 
The original Twitter-roBERTa-base model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest). This model is suitable for English. 


- Git Repo: [BVK project repository](https://github.com/BVK23/Discord-NLP).

<b>Labels</b>: 
0 -> Negative;
1 -> Neutral;
2 -> Positive
{"widget": [{"text": "Excited for the mint"}, {"text": "lfg"}, {"text": "no wl"}]}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 


# Discord Sentiment Analysis - (Context: NFTs) 

This is a model derived from Twitter-roBERTa-base model trained on ~10K Discord messages from NFT-based Discord servers and finetuned for sentiment analysis with manually labelled data. 
The original Twitter-roBERTa-base model can be found here. This model is suitable for English. 


- Git Repo: BVK project repository.

<b>Labels</b>: 
0 -> Negative;
1 -> Neutral;
2 -> Positive
# Discord Sentiment Analysis - (Context: NFTs) 

This is a model derived from Twitter-roBERTa-base model trained on ~10K Discord messages from NFT-based Discord servers and finetuned for sentiment analysis with manually labelled data. 
The original Twitter-roBERTa-base model can be found here. This model is suitable for English. 


- Git Repo: BVK project repository.

<b>Labels</b>: 
0 -> Negative;
1 -> Neutral;
2 -> Positive
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # Discord Sentiment Analysis - (Context: NFTs) 

This is a model derived from Twitter-roBERTa-base model trained on ~10K Discord messages from NFT-based Discord servers and finetuned for sentiment analysis with manually labelled data. 
The original Twitter-roBERTa-base model can be found here. This model is suitable for English. 


- Git Repo: BVK project repository.

<b>Labels</b>: 
0 -> Negative;
1 -> Neutral;
2 -> Positive
passage: TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
# Discord Sentiment Analysis - (Context: NFTs) 

This is a model derived from Twitter-roBERTa-base model trained on ~10K Discord messages from NFT-based Discord servers and finetuned for sentiment analysis with manually labelled data. 
The original Twitter-roBERTa-base model can be found here. This model is suitable for English. 


- Git Repo: BVK project repository.

<b>Labels</b>: 
0 -> Negative;
1 -> Neutral;
2 -> Positive