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TimKoornstra
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FinTwitBERT
FinTwitBERT: Specialized BERT Model for Financial Twitter Analysis. Trained on vast financial tweets, it's ideal for sentiment analysis, trend prediction, and financial NLP tasks.
MIT License
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Test on reddit data
#22
StephanAkkerman
opened
2 months ago
0
New model that also uses price data
#21
StephanAkkerman
opened
2 months ago
0
Add wikipedia loss during eval
#20
TimKoornstra
opened
6 months ago
0
Add .ipynb notebook for analysis
#19
StephanAkkerman
closed
6 months ago
1
Increase (bearish) labeled data
#18
StephanAkkerman
opened
7 months ago
10
Report confusion matrix to wandb
#17
StephanAkkerman
closed
7 months ago
1
Improve data.py
#16
StephanAkkerman
closed
7 months ago
0
Start finetuning epochs with tweet_eval
#15
StephanAkkerman
closed
7 months ago
0
Improve eval by using HF pipeline
#14
StephanAkkerman
closed
7 months ago
0
Implement discriminative fine-tuning
#13
StephanAkkerman
closed
7 months ago
1
Eval finetune model on financial phrasebank
#12
StephanAkkerman
closed
7 months ago
0
Rename finetuning datasets
#11
StephanAkkerman
closed
7 months ago
0
Mask tickers using nasdaq list
#10
StephanAkkerman
opened
7 months ago
2
Try finetuning with LoRa
#9
StephanAkkerman
closed
7 months ago
1
Add a config file for hyperparameters and other
#8
StephanAkkerman
closed
7 months ago
2
Use python-dotenv for .env file
#7
StephanAkkerman
closed
7 months ago
0
Increase number of datasets
#6
StephanAkkerman
opened
8 months ago
2
Experiment with RoBERTa
#5
StephanAkkerman
opened
8 months ago
4
Include finetuned model
#4
StephanAkkerman
closed
7 months ago
0
Add W&B dashboard
#3
StephanAkkerman
closed
8 months ago
0
Remove duplicate tweets
#2
StephanAkkerman
closed
8 months ago
0
Pretrain on stock market tweets data
#1
StephanAkkerman
closed
8 months ago
0