Sagor SarkerandJulien Chaumond
4753816e39
* added bangla-bert-base * Apply suggestions from code review Co-authored-by: Julien Chaumond <chaumond@gmail.com>
54 lines
1.3 KiB
Markdown
54 lines
1.3 KiB
Markdown
---
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language:
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- es
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- en
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datasets:
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- lince
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license: "MIT"
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tags:
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- codeswitching
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- spanish-english
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- sentiment-analysis
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---
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# codeswitch-spaeng-sentiment-analysis-lince
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This is a pretrained model for **Sentiment Analysis** of `spanish-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
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This model is trained for this below repository.
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[https://github.com/sagorbrur/codeswitch](https://github.com/sagorbrur/codeswitch)
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To install codeswitch:
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```
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pip install codeswitch
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```
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## Sentiment Analysis of Spanish-English Code-Mixed Data
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* **Method-1**
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```py
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
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tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-sentiment-analysis-lince")
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model = AutoModelForSequenceClassification.from_pretrained("sagorsarker/codeswitch-spaeng-sentiment-analysis-lince")
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nlp = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
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sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day"
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nlp(sentence)
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```
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* **Method-2**
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```py
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from codeswitch.codeswitch import SentimentAnalysis
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sa = SentimentAnalysis('spa-eng')
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sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day"
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result = sa.analyze(sentence)
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print(result)
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```
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