
Read this [BLOG](https://neuralmagic.com/blog/classifying-finance-tweets-in-real-time-with-sparse-transformers/) to see how I fine-tuned a sparse transformer on this dataset.

### Dataset Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.

1. The dataset holds 21,107 documents annotated with 20 labels:

```python
topics = {
    "LABEL_0": "Analyst Update",
    "LABEL_1": "Fed | Central Banks",
    "LABEL_2": "Company | Product News",
    "LABEL_3": "Treasuries | Corporate Debt",
    "LABEL_4": "Dividend",
    "LABEL_5": "Earnings",
    "LABEL_6": "Energy | Oil",
    "LABEL_7": "Financials",
    "LABEL_8": "Currencies",
    "LABEL_9": "General News | Opinion",
    "LABEL_10": "Gold | Metals | Materials",
    "LABEL_11": "IPO",
    "LABEL_12": "Legal | Regulation",
    "LABEL_13": "M&A | Investments",
    "LABEL_14": "Macro",
    "LABEL_15": "Markets",
    "LABEL_16": "Politics",
    "LABEL_17": "Personnel Change",
    "LABEL_18": "Stock Commentary",
    "LABEL_19": "Stock Movement",
}
```

The data was collected using the Twitter API. The current dataset supports the multi-class classification task.

### Task: Topic Classification

# Data Splits
There are 2 splits: train and validation. Below are the statistics:

| Dataset Split | Number of Instances in Split                |
| ------------- | ------------------------------------------- |
| Train         | 16,990                                      |
| Validation    | 4,118                                       |


# Licensing Information
The Twitter Financial Dataset (topic) version 1.0.0 is released under the MIT License.
task_categories:text-classification task_ids:multi-class-classification annotations_creators:other language_creators:other multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:mit twitter finance markets stocks wallstreet quant hedgefunds region:us
{"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "twitter financial news", "tags": ["twitter", "finance", "markets", "stocks", "wallstreet", "quant", "hedgefunds", "markets"]}
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #region-us 

Read this BLOG to see how I fine-tuned a sparse transformer on this dataset.


### Dataset Description


The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.


1. The dataset holds 21,107 documents annotated with 20 labels:


The data was collected using the Twitter API. The current dataset supports the multi-class classification task.


### Task: Topic Classification


Data Splits
===========


There are 2 splits: train and validation. Below are the statistics:



Licensing Information
=====================


The Twitter Financial Dataset (topic) version 1.0.0 is released under the MIT License.



### Dataset Description


The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.


1. The dataset holds 21,107 documents annotated with 20 labels:


The data was collected using the Twitter API. The current dataset supports the multi-class classification task. ### Task: Topic Classification


Data Splits
===========


There are 2 splits: train and validation. Below are the statistics:



Licensing Information
=====================


The Twitter Financial Dataset (topic) version 1.0.0 is released under the MIT License.
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #region-us 
 ### Dataset Description


The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.


1. The dataset holds 21,107 documents annotated with 20 labels:


The data was collected using the Twitter API. The current dataset supports the multi-class classification task. ### Task: Topic Classification


Data Splits
===========


There are 2 splits: train and validation. Below are the statistics:



Licensing Information
=====================


The Twitter Financial Dataset (topic) version 1.0.0 is released under the MIT License.