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4 | 4 | corresponding code to the paper:https://arxiv.org/abs/2502.14897 |
5 | 5 |
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6 | 6 | ##Easy access |
7 | | -- Neptune AI results for language model experiments can be found[here]([https://app.neptune.ai/o/Financial-NLP/org/market-aware-embedding/](https://app.neptune.ai/o/Financial-NLP/org/market-aware-embedding/runs/table?viewId=standard-view&lbViewUnpacked=true&sortBy=%5B%22sys%2Fcreation_time%22%5D&sortFieldType=%5B%22datetime%22%5D&sortFieldAggregationMode=%5B%22auto%22%5D&sortDirection=%5B%22descending%22%5D&groupBy=%5B%22sys%2Fgroup_tags%22%5D&groupByFieldType=%5B%22stringSet%22%5D&groupByFieldAggregationMode=%5B%22auto%22%5D)) including tables, confusion matrixes and more. |
| 7 | +- Neptune AI results for language model experiments can be found[here](https://app.neptune.ai/o/Financial-NLP/org/market-aware-embedding/runs/table?viewId=standard-view&lbViewUnpacked=true&sortBy=%5B%22sys%2Fcreation_time%22%5D&sortFieldType=%5B%22datetime%22%5D&sortFieldAggregationMode=%5B%22auto%22%5D&sortDirection=%5B%22descending%22%5D&groupBy=%5B%22sys%2Fgroup_tags%22%5D&groupByFieldType=%5B%22stringSet%22%5D&groupByFieldAggregationMode=%5B%22auto%22%5D) including tables, confusion matrixes and more. |
8 | 8 | - the main notebook on Kaggle called tweet-classification can be found[here](https://github.com/hamidm21/Revisit_FSA/blob/master/notebook/tweet-classification.ipynb) |
9 | 9 | - the final implementation and optimization of Triple Barrier Labeling can be found in the notebook[next_day_prediction](https://github.com/hamidm21/Revisit_FSA/blob/master/notebook/next_day_prediction.ipynb) |
10 | 10 |
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