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| <sub>[Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis)</sub> | <sub>Sentiment, distance and proportion analysis for trading signals.</sub> | <sub>6/23/17 0:05</sub> | <sub>1/26/19 3:35</sub> | <sub>48.0</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>4/16/18 22:18</sub> | <sub>6/7/18 22:01</sub> | <sub>4.0</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>12/30/17 8:56</sub> | <sub>1/11/18 2:11</sub> | <sub>3.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[news-emotion](https://github.com/dongyuanxin/news-emotion)</sub> | <sub>NEW</sub> | <sub>9/14/17 2:59</sub> | <sub>6/11/18 13:47</sub> | <sub>245.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |
| <sub>[awesome-financial-nlp](https://github.com/icoxfog417/awesome-financial-nlp)</sub> | <sub>NEW</sub> | <sub>10/3/19 3:53</sub> | <sub>2/1/20 8:28</sub> | <sub>226.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[FinNLP-Progress](https://github.com/YangLinyi/FinNLP-Progress)</sub> | <sub>NEW</sub> | <sub>5/21/20 9:59</sub> | <sub>3/23/21 8:14</sub> | <sub>164.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[financial-news-dataset](https://github.com/philipperemy/financial-news-dataset)</sub> | <sub>NEW</sub> | <sub>8/23/16 13:29</sub> | <sub>3/4/21 6:34</sub> | <sub>154.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[FinBERT](https://github.com/psnonis/FinBERT)</sub> | <sub>NEW</sub> | <sub>7/9/19 16:34</sub> | <sub>5/19/20 2:02</sub> | <sub>140.0</sub> | <sub>:heavy_check_mark:</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>5/24/17 12:36</sub> | <sub>8/7/19 21:47</sub> | <sub>110.0</sub> | <sub>:heavy_check_mark:</sub> | <sub></sub> |
| <sub>[BDCI2019-Negative_Finance_Info_Judge](https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge)</sub> | <sub>NEW</sub> | <sub>12/27/19 3:49</sub> | <sub>12/4/20 3:38</sub> | <sub>107.0</sub> | <sub>:heavy_check_mark:</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>2/4/18 21:51</sub> | <sub>2/4/18 21:57</sub> | <sub>1.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub></sub> |