Natural language based financial forecasting : a survey
Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. This increasing capability makes it possible to capture sentiments more accurately and...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/143831 |
| _version_ | 1811694688063717376 |
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| author | Xing, Frank Z. Cambria, Erik Welsch, Roy E. |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Xing, Frank Z. Cambria, Erik Welsch, Roy E. |
| author_sort | Xing, Frank Z. |
| collection | NTU |
| description | Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles that leverage NLP techniques to predict financial markets are fast accumulating, gradually establishing the research field of natural language based financial forecasting (NLFF), or from the application perspective, stock market prediction. This review article clarifies the scope of NLFF research by ordering and structuring techniques and applications from related work. The survey also aims to increase the understanding of progress and hotspots in NLFF, and bring about discussions across many different disciplines. |
| first_indexed | 2024-10-01T07:11:33Z |
| format | Journal Article |
| id | ntu-10356/143831 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:11:33Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1438312020-09-25T02:40:18Z Natural language based financial forecasting : a survey Xing, Frank Z. Cambria, Erik Welsch, Roy E. School of Computer Science and Engineering Engineering::Computer science and engineering Financial Forecasting Natural Language Processing Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles that leverage NLP techniques to predict financial markets are fast accumulating, gradually establishing the research field of natural language based financial forecasting (NLFF), or from the application perspective, stock market prediction. This review article clarifies the scope of NLFF research by ordering and structuring techniques and applications from related work. The survey also aims to increase the understanding of progress and hotspots in NLFF, and bring about discussions across many different disciplines. 2020-09-25T02:40:17Z 2020-09-25T02:40:17Z 2017 Journal Article Xing, F. Z., Cambria, E., & Welsch, R. E. (2018). Natural language based financial forecasting : a survey. Artificial Intelligence Review, 50, 49-73. doi:10.1007/s10462-017-9588-9 0269-2821 https://hdl.handle.net/10356/143831 10.1007/s10462-017-9588-9 50 49 73 en Artificial Intelligence Review © 2017 Springer Science+Business Media B.V. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Financial Forecasting Natural Language Processing Xing, Frank Z. Cambria, Erik Welsch, Roy E. Natural language based financial forecasting : a survey |
| title | Natural language based financial forecasting : a survey |
| title_full | Natural language based financial forecasting : a survey |
| title_fullStr | Natural language based financial forecasting : a survey |
| title_full_unstemmed | Natural language based financial forecasting : a survey |
| title_short | Natural language based financial forecasting : a survey |
| title_sort | natural language based financial forecasting a survey |
| topic | Engineering::Computer science and engineering Financial Forecasting Natural Language Processing |
| url | https://hdl.handle.net/10356/143831 |
| work_keys_str_mv | AT xingfrankz naturallanguagebasedfinancialforecastingasurvey AT cambriaerik naturallanguagebasedfinancialforecastingasurvey AT welschroye naturallanguagebasedfinancialforecastingasurvey |