| _repo | _comment | _{created_at} | _{last_commit} | _{star_count} | _{repo_status} | _rating | |:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | _{[NLP](https://github.com/toamitesh/NLPinFinance)} | _{This project assembles a lot of NLP operations needed for finance domain.} | _nan | _nan | _nan | _{:heavy_check_mark:} | | | _{[Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb)} | _{Comprehensive NLP techniques for accounting research.} | _{2017-10-25 07:10:26} | _{2020-06-05 03:28:46} | _86.0 | _{:heavy_check_mark:} | | | _{[NLP Event](https://github.com/yuriak/DLQuant)} | _{Applying Deep Learning and NLP in Quantitative Trading.} | _{2018-07-02 23:50:52} | _{2019-01-31 14:08:20} | _77.0 | _{:heavy_multiplication_x:} | | | _{[Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb)} | _{Fund classification using text mining and NLP.} | _{2018-04-16 22:18:55} | _{2018-06-07 22:01:32} | _6.0 | _{:heavy_multiplication_x:} | | | _{[Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis)} | _{Sentiment, distance and proportion analysis for trading signals.} | _{2017-06-23 00:05:49} | _{2019-01-26 03:35:55} | _54.0 | _{:heavy_multiplication_x:} | | | _{[Earning call transcripts](https://github.com/lin882/WebAnalyticsProject)} | _{Correlation between mutual fund investment decision and earning call transcripts.} | _{2017-12-30 08:56:03} | _{2018-01-11 02:11:11} | _5.0 | _{:heavy_multiplication_x:} | | | _{[awesome-financial-nlp](https://github.com/icoxfog417/awesome-financial-nlp)} | _NEW | _{2019-10-03 03:53:20} | _{2020-02-01 08:28:16} | _264.0 | _{:heavy_check_mark:} | | | _{[news-emotion](https://github.com/dongyuanxin/news-emotion)} | _NEW | _{2017-09-14 02:59:03} | _{2018-06-11 13:47:51} | _262.0 | _{:heavy_multiplication_x:} | | | _{[FinNLP-Progress](https://github.com/YangLinyi/FinNLP-Progress)} | _NEW | _{2020-05-21 09:59:56} | _{2021-09-30 08:26:25} | _222.0 | _{:heavy_check_mark:} | | | _{[Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds)} | _{Return performance and mutual fund selection.} | _{2018-02-04 21:51:16} | _{2018-02-04 21:57:09} | _2.0 | _{:heavy_multiplication_x:} | | | _{[financial-news-dataset](https://github.com/philipperemy/financial-news-dataset)} | _NEW | _{2016-08-23 13:29:07} | _{2021-03-04 06:34:24} | _160.0 | _{:heavy_check_mark:} | | | _{[FinBERT](https://github.com/psnonis/FinBERT)} | _NEW | _{2019-07-09 16:34:27} | _{2020-05-19 02:02:20} | _156.0 | _{:heavy_check_mark:} | | | _{[Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb)} | _{Using deep-learning frameworks to identify accounting anomalies.} | _{2017-05-24 12:36:38} | _{2019-08-07 21:47:08} | _130.0 | _{:heavy_multiplication_x:} | | | _{[Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis)} | _{Extracting sentiment from financial statements using neural networks.} | _{2018-06-04 20:54:14} | _{2018-06-04 20:56:02} | _13.0 | _{:heavy_multiplication_x:} | | | _{[BDCI2019-Negative_Finance_Info_Judge](https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge)} | _NEW | _{2019-12-27 03:49:31} | _{2020-12-04 03:38:57} | _115.0 | _{:heavy_check_mark:} | |