metadata
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_healthsea
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0
- name: NER Recall
type: recall
value: 0
- name: NER F Score
type: f_score
value: 0
- task:
name: SENTER
type: token-classification
metrics:
- name: SENTER Precision
type: precision
value: 1
- name: SENTER Recall
type: recall
value: 1
- name: SENTER F Score
type: f_score
value: 1
Healthsea pipeline for analyzing reviews to supplement products
| Feature | Description |
|---|---|
| Name | en_healthsea |
| Version | 0.0.1 |
| spaCy | >=3.2.0,<3.3.0 |
| Default Pipeline | sentencizer, tok2vec, ner, benepar, segmentation, clausecat, aggregation |
| Components | sentencizer, tok2vec, ner, benepar, segmentation, clausecat, aggregation |
| Vectors | 684830 keys, 684830 unique vectors (300 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Explosion |
Label Scheme
View label scheme (6 labels for 2 components)
| Component | Labels |
|---|---|
ner |
BENEFIT, CONDITION |
clausecat |
POSITIVE, NEUTRAL, NEGATIVE, ANAMNESIS |
Accuracy
| Type | Score |
|---|---|
SENTS_F |
100.00 |
SENTS_P |
100.00 |
SENTS_R |
100.00 |
ENTS_F |
0.00 |
ENTS_P |
0.00 |
ENTS_R |
0.00 |
ENTS_PER_TYPE |
0.00 |
CATS_SCORE |
74.87 |
CATS_MICRO_P |
82.39 |
CATS_MICRO_R |
80.93 |
CATS_MICRO_F |
81.66 |
CATS_MACRO_P |
78.43 |
CATS_MACRO_R |
72.16 |
CATS_MACRO_F |
74.87 |
CATS_MACRO_AUC |
92.78 |
CATS_MACRO_AUC_PER_TYPE |
0.00 |
CLAUSECAT_LOSS |
339.11 |