readme: ---
  language:
  - es
  - en
  - multilingual
  license: mit
  tags:
  - codeswitching
  - spanish-english
  - sentiment-analysis
  datasets:
  - lince
  ---
  
  # 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)
  ```
  