| language: | |
| - es | |
| - en | |
| datasets: | |
| - lince | |
| license: mit | |
| tags: | |
| - codeswitching | |
| - spanish-english | |
| - sentiment-analysis | |
| # codeswitch-spaeng-sentiment-analysis-lince | |
| This is a pretrained model for **Sentiment Analysis** of `spanish-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home) | |
| This model is trained for this below repository. | |
| [https://github.com/sagorbrur/codeswitch](https://github.com/sagorbrur/codeswitch) | |
| To install codeswitch: | |
| ``` | |
| pip install codeswitch | |
| ``` | |
| ## Sentiment Analysis of Spanish-English Code-Mixed Data | |
| * **Method-1** | |
| ```py | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-sentiment-analysis-lince") | |
| model = AutoModelForSequenceClassification.from_pretrained("sagorsarker/codeswitch-spaeng-sentiment-analysis-lince") | |
| nlp = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer) | |
| sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day" | |
| nlp(sentence) | |
| ``` | |
| * **Method-2** | |
| ```py | |
| from codeswitch.codeswitch import SentimentAnalysis | |
| sa = SentimentAnalysis('spa-eng') | |
| sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day" | |
| result = sa.analyze(sentence) | |
| print(result) | |
| ``` | |