Stock Price Prediction via Sentiment Analysis on News Corpora
The notion of stock market gains is an enticing one. For researchers, however, succeeding in developing a system that can predict market movements can be in and of itself an even more rewarding feat. With the rise of arti cial intelligence in general, and machine learning-based sentiment analysis in...
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| Format: | masterThesis |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/10725/13675 https://doi.org/10.26756/th.2022.237 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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| _version_ | 1864513467967340544 |
|---|---|
| author | Al Watchi Al Hayek, Maher |
| author_facet | Al Watchi Al Hayek, Maher |
| author_role | author |
| dc.creator.none.fl_str_mv | Al Watchi Al Hayek, Maher |
| dc.date.none.fl_str_mv | 2021 2021-08-14 2022-06-15T08:31:50Z 2022-06-15T08:31:50Z |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/13675 https://doi.org/10.26756/th.2022.237 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Lebanese American University |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Stocks -- Prices Stock price forecasting Artificial intelligence Machine learning Lebanese American University -- Dissertations Dissertations, Academic |
| dc.title.none.fl_str_mv | Stock Price Prediction via Sentiment Analysis on News Corpora |
| dc.type.none.fl_str_mv | Thesis info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| description | The notion of stock market gains is an enticing one. For researchers, however, succeeding in developing a system that can predict market movements can be in and of itself an even more rewarding feat. With the rise of arti cial intelligence in general, and machine learning-based sentiment analysis in particular, the dream of stock market prediction has never been closer to our grasp. By leveraging the massive amounts of news data being cranked out daily, we can gauge the market mood via sentiment analysis techniques. We develop a novel version of the random forest classi er infused with the powers of collocation and concordance, both of which borrowed from the eld of linguistics. Our experimental analysis yields insightful and impressive results compared to other works in the literature. Our novel model achieves a whopping 85% accuracy in predicting stock movements. |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | LAURepo_443b2c4e77524c85c4eddd225447d943 |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/13675 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Lebanese American University |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Stock Price Prediction via Sentiment Analysis on News CorporaAl Watchi Al Hayek, MaherStocks -- PricesStock price forecastingArtificial intelligenceMachine learningLebanese American University -- DissertationsDissertations, AcademicThe notion of stock market gains is an enticing one. For researchers, however, succeeding in developing a system that can predict market movements can be in and of itself an even more rewarding feat. With the rise of arti cial intelligence in general, and machine learning-based sentiment analysis in particular, the dream of stock market prediction has never been closer to our grasp. By leveraging the massive amounts of news data being cranked out daily, we can gauge the market mood via sentiment analysis techniques. We develop a novel version of the random forest classi er infused with the powers of collocation and concordance, both of which borrowed from the eld of linguistics. Our experimental analysis yields insightful and impressive results compared to other works in the literature. Our novel model achieves a whopping 85% accuracy in predicting stock movements.1 online resource (ix, 41 leaves): ill. (some col.)Bibliography: leaf 37-41.Lebanese American University2022-06-15T08:31:50Z2022-06-15T08:31:50Z20212021-08-14Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/13675https://doi.org/10.26756/th.2022.237http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.phpeninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/136752022-07-05T08:57:50Z |
| spellingShingle | Stock Price Prediction via Sentiment Analysis on News Corpora Al Watchi Al Hayek, Maher Stocks -- Prices Stock price forecasting Artificial intelligence Machine learning Lebanese American University -- Dissertations Dissertations, Academic |
| status_str | publishedVersion |
| title | Stock Price Prediction via Sentiment Analysis on News Corpora |
| title_full | Stock Price Prediction via Sentiment Analysis on News Corpora |
| title_fullStr | Stock Price Prediction via Sentiment Analysis on News Corpora |
| title_full_unstemmed | Stock Price Prediction via Sentiment Analysis on News Corpora |
| title_short | Stock Price Prediction via Sentiment Analysis on News Corpora |
| title_sort | Stock Price Prediction via Sentiment Analysis on News Corpora |
| topic | Stocks -- Prices Stock price forecasting Artificial intelligence Machine learning Lebanese American University -- Dissertations Dissertations, Academic |
| url | http://hdl.handle.net/10725/13675 https://doi.org/10.26756/th.2022.237 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |