
# Hate Speech Classifier for Social Media Content in Italian Language

A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model.

## Please cite:
Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). __Handling disagreement in hate speech modelling__. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
https://link.springer.com/chapter/10.1007/978-3-031-08974-9_54

## Tokenizer

During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference.

## Model output

The model classifies each input into one of four distinct classes:

* 0 - acceptable

* 1 - inappropriate

* 2 - offensive

* 3 - violent
{"language": ["it"], "license": "mit", "widget": [{"text": "Ciao, mi chiamo Marcantonio, sono di Roma. Studio informatica all'Universit\u00e0 di Roma."}]}
transformers pytorch bert text-classification it license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# Hate Speech Classifier for Social Media Content in Italian Language

A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model.

## Please cite:
Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). __Handling disagreement in hate speech modelling__. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
URL

## Tokenizer

During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference.

## Model output

The model classifies each input into one of four distinct classes:

* 0 - acceptable

* 1 - inappropriate

* 2 - offensive

* 3 - violent
# Hate Speech Classifier for Social Media Content in Italian Language

A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model. ## Please cite:
Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). __Handling disagreement in hate speech modelling__. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
URL ## Tokenizer

During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference. ## Model output

The model classifies each input into one of four distinct classes:

* 0 - acceptable

* 1 - inappropriate

* 2 - offensive

* 3 - violent
TAGS
#transformers #pytorch #bert #text-classification #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Hate Speech Classifier for Social Media Content in Italian Language

A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model. ## Please cite:
Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). __Handling disagreement in hate speech modelling__. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
URL ## Tokenizer

During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference. ## Model output

The model classifies each input into one of four distinct classes:

* 0 - acceptable

* 1 - inappropriate

* 2 - offensive

* 3 - violent
passage: TAGS
#transformers #pytorch #bert #text-classification #it #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Hate Speech Classifier for Social Media Content in Italian Language

A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model.## Please cite:
Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). __Handling disagreement in hate speech modelling__. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
URL## Tokenizer

During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference.## Model output

The model classifies each input into one of four distinct classes:

* 0 - acceptable

* 1 - inappropriate

* 2 - offensive

* 3 - violent