
Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future events or results. Identifying forward-looking statements from corporate reports can assist investors in financial analysis. FinBERT-FLS is a FinBERT model fine-tuned on 3,500 manually annotated sentences from Management Discussion and Analysis section of annual reports of Russell 3000 firms.  

**Input**: A financial text.

**Output**: Specific-FLS , Non-specific FLS, or Not-FLS.

# How to use 
You can use this model with Transformers pipeline for forward-looking statement classification.
```python
# tested in transformers==4.18.0 
from transformers import BertTokenizer, BertForSequenceClassification, pipeline

finbert = BertForSequenceClassification.from_pretrained('yiyanghkust/finbert-fls',num_labels=3)
tokenizer = BertTokenizer.from_pretrained('yiyanghkust/finbert-fls')
nlp = pipeline("text-classification", model=finbert, tokenizer=tokenizer)
results = nlp('We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs.')
print(results)  # [{'label': 'Specific FLS', 'score': 0.77278733253479}]

```

Visit [FinBERT.AI](https://finbert.ai/) for more details on the recent development of FinBERT.
{"language": "en", "tags": ["financial-text-analysis", "forward-looking-statement"], "widget": [{"text": "We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs. "}]}
transformers pytorch bert text-classification financial-text-analysis forward-looking-statement en autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #text-classification #financial-text-analysis #forward-looking-statement #en #autotrain_compatible #endpoints_compatible #has_space #region-us 


Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future events or results. Identifying forward-looking statements from corporate reports can assist investors in financial analysis. FinBERT-FLS is a FinBERT model fine-tuned on 3,500 manually annotated sentences from Management Discussion and Analysis section of annual reports of Russell 3000 firms.  

Input: A financial text.

Output: Specific-FLS , Non-specific FLS, or Not-FLS.

# How to use 
You can use this model with Transformers pipeline for forward-looking statement classification.


Visit FinBERT.AI for more details on the recent development of FinBERT.
# How to use 
You can use this model with Transformers pipeline for forward-looking statement classification.


Visit FinBERT.AI for more details on the recent development of FinBERT.
TAGS
#transformers #pytorch #bert #text-classification #financial-text-analysis #forward-looking-statement #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # How to use 
You can use this model with Transformers pipeline for forward-looking statement classification.


Visit FinBERT.AI for more details on the recent development of FinBERT.
passage: TAGS
#transformers #pytorch #bert #text-classification #financial-text-analysis #forward-looking-statement #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
# How to use 
You can use this model with Transformers pipeline for forward-looking statement classification.


Visit FinBERT.AI for more details on the recent development of FinBERT.