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| <sub>repo</sub> | <sub>comment</sub> | <sub>created_at</sub> | <sub>last_commit</sub> | <sub>star_count</sub> | <sub>repo_status</sub> | <sub>rating</sub> |
|:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|
| <sub>[NLP](https://github.com/toamitesh/NLPinFinance)</sub> | <sub>This project assembles a lot of NLP operations needed for finance domain.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[NLP Event](https://github.com/yuriak/DLQuant)</sub> | <sub>Applying Deep Learning and NLP in Quantitative Trading.</sub> | <sub>2018-07-02 23:50:52</sub> | <sub>2019-01-31 14:08:20</sub> | <sub>99.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis)</sub> | <sub>Sentiment, distance and proportion analysis for trading signals.</sub> | <sub>2017-06-23 00:05:49</sub> | <sub>2023-05-08 00:58:50</sub> | <sub>94.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[Cornucopia-LLaMA-Fin-Chinese](https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese)</sub> | <sub>NEW</sub> | <sub>2023-04-30 06:11:18</sub> | <sub>2023-06-30 07:52:13</sub> | <sub>582.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[awesome-financial-nlp](https://github.com/icoxfog417/awesome-financial-nlp)</sub> | <sub>NEW</sub> | <sub>2019-10-03 03:53:20</sub> | <sub>2020-02-01 08:28:16</sub> | <sub>402.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds)</sub> | <sub>Return performance and mutual fund selection.</sub> | <sub>2018-02-04 21:51:16</sub> | <sub>2018-02-04 21:57:09</sub> | <sub>4.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[FinNLP-Progress](https://github.com/YangLinyi/FinNLP-Progress)</sub> | <sub>NEW</sub> | <sub>2020-05-21 09:59:56</sub> | <sub>2022-04-18 09:21:22</sub> | <sub>390.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[news-emotion](https://github.com/dongyuanxin/news-emotion)</sub> | <sub>NEW</sub> | <sub>2017-09-14 02:59:03</sub> | <sub>2018-06-11 13:47:51</sub> | <sub>331.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[financial-news-dataset](https://github.com/philipperemy/financial-news-dataset)</sub> | <sub>NEW</sub> | <sub>2016-08-23 13:29:07</sub> | <sub>2023-03-09 06:53:26</sub> | <sub>223.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[FinBERT](https://github.com/psnonis/FinBERT)</sub> | <sub>NEW</sub> | <sub>2019-07-09 16:34:27</sub> | <sub>2020-05-19 02:02:20</sub> | <sub>197.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb)</sub> | <sub>Using deep-learning frameworks to identify accounting anomalies.</sub> | <sub>2017-05-24 12:36:38</sub> | <sub>2019-08-07 21:47:08</sub> | <sub>196.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[fin-sight](https://github.com/vishwasg217/fin-sight)</sub> | <sub>NEW</sub> | <sub>2023-09-06 13:01:39</sub> | <sub>2024-04-22 07:21:27</sub> | <sub>195.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[finsight](https://github.com/vishwasg217/finsight)</sub> | <sub>NEW</sub> | <sub>2023-09-06 13:01:39</sub> | <sub>2024-04-22 07:21:27</sub> | <sub>189.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis)</sub> | <sub>Extracting sentiment from financial statements using neural networks.</sub> | <sub>2018-06-04 20:54:14</sub> | <sub>2018-06-04 20:56:02</sub> | <sub>18.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[BDCI2019-Negative_Finance_Info_Judge](https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge)</sub> | <sub>NEW</sub> | <sub>2019-12-27 03:49:31</sub> | <sub>2020-12-04 03:38:57</sub> | <sub>153.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[ChatGPT-for-FinTech](https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech)</sub> | <sub>NEW</sub> | <sub>2023-02-11 20:21:34</sub> | <sub>2024-07-18 06:34:35</sub> | <sub>13611.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb)</sub> | <sub>Comprehensive NLP techniques for accounting research.</sub> | <sub>2017-10-25 07:10:26</sub> | <sub>2020-06-05 03:28:46</sub> | <sub>118.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb)</sub> | <sub>Fund classification using text mining and NLP.</sub> | <sub>2018-04-16 22:18:55</sub> | <sub>2018-06-07 22:01:32</sub> | <sub>11.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[Earning call transcripts](https://github.com/lin882/WebAnalyticsProject)</sub> | <sub>Correlation between mutual fund investment decision and earning call transcripts.</sub> | <sub>2017-12-30 08:56:03</sub> | <sub>2018-01-11 02:11:11</sub> | <sub>10.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
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