 pipeline to extract stonk names, need to adjust for general use as some stonk names are very short. Based on the standard spacy pipeline, but added a pipe and wanted to distribute it easily

| Feature | Description |
| --- | --- |
| **Name** | `en_stonk_pipeline` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.4.1,<3.5.0` |
| **Default Pipeline** | `entity_ruler` |
| **Components** | `entity_ruler` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University) |
| **License** | n/a |
| **Author** | [FriendlyUser](friendlyuser.github.io) |

### Label Scheme

<details>

<summary>View label scheme (8 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`entity_ruler`** | `COMPANY`, `COUNTRY`, `DIVIDENDS`, `INDEX`, `MAYBE`, `STOCK`, `STOCK_EXCHANGE`, `THINGS` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 99.93 |
| `TOKEN_P` | 99.57 |
| `TOKEN_R` | 99.58 |
| `TOKEN_F` | 99.57 |
| `TAG_ACC` | 97.26 |
| `SENTS_P` | 91.92 |
| `SENTS_R` | 88.90 |
| `SENTS_F` | 90.39 |
| `DEP_UAS` | 91.66 |
| `DEP_LAS` | 89.78 |
| `ENTS_P` | 85.65 |
| `ENTS_R` | 83.49 |
| `ENTS_F` | 84.56 |
{"language": ["en"], "tags": ["spacy"]}
spacy en model-index region:us
TAGS
#spacy #en #model-index #region-us 

pipeline to extract stonk names, need to adjust for general use as some stonk names are very short. Based on the standard spacy pipeline, but added a pipe and wanted to distribute it easily



### Label Scheme



View label scheme (8 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (8 labels for 1 components) ### Accuracy
TAGS
#spacy #en #model-index #region-us 
 ### Label Scheme



View label scheme (8 labels for 1 components) ### Accuracy
passage: TAGS
#spacy #en #model-index #region-us 
### Label Scheme



View label scheme (8 labels for 1 components)### Accuracy