---
tags:
- flair
- token-classification
- sequence-tagger-model
widget:
- text: "Sesuai diskusi. Barang mulus walau ada hairline scratch di casing depan. Battery masih awet. Dapat bonus keyboard jp jg. Thanks gan."

---

Klasifikasi aspek dalam review laptop

### Demo: How to use in Flair

Requires:
- **[Flair](https://github.com/flairNLP/flair/)** (`pip install flair`)

```python
from flair.data import Sentence
from flair.models import SequenceTagger

# load tagger
tagger = SequenceTagger.load("yudiwbs/absa_elektronik_aspek_v2")

sentence = Sentence('Sesuai diskusi. Barang mulus walau ada hairline scratch di casing depan. Battery masih awet. Dapat bonus jg. Thanks gan.')
# predict
model.predict(sentence)
print(sentence.to_tagged_string())

# iterate over entities and print
for entity in sentence.get_spans('aspek'):
    print(entity)
```