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Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis

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Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis

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dc.contributor.author Mumtaz, Ummara es_ES
dc.contributor.author Mumtaz, Summaya es_ES
dc.date.accessioned 2024-09-26T07:39:27Z
dc.date.available 2024-09-26T07:39:27Z
dc.date.issued 2024-07-16
dc.identifier.isbn 9788413962016
dc.identifier.uri http://hdl.handle.net/10251/208665
dc.description.abstract [EN] The rise of ChatGPT has brought a notable shift to the AI sector, with its exceptional conversational skills and deep grasp of language. Recognizing its value across different areas, our study investigates ChatGPT's capacity to predict stock market movements using only social media tweets and sentiment analysis. We aim to see if ChatGPT can tap into the vast sentiment data on platforms like Twitter to offer insightful predictions about stock trends. We focus on determining if a tweet has a positive, negative, or neutral effect on two big tech giants Microsoft and Google’s stock value. Our findings highlight a positive link between ChatGPT's evaluations and the following day's stock results for both tech companies. This research enriches our view on ChatGPT's adaptability and emphasizes the growing importance of AI in shaping financial market forecasts. es_ES
dc.format.extent 9 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject ChatGPT es_ES
dc.subject Twitter es_ES
dc.subject Sentiment Analysis es_ES
dc.subject Stock Market Price es_ES
dc.subject Trend Prediction es_ES
dc.subject LLMs es_ES
dc.title Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2024.2024.17467
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Mumtaz, U.; Mumtaz, S. (2024). Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis. Editorial Universitat Politècnica de València. 250-258. https://doi.org/10.4995/CARMA2024.2024.17467 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 26-28, 2024 es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2024/paper/view/17467 es_ES
dc.description.upvformatpinicio 250 es_ES
dc.description.upvformatpfin 258 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\17467 es_ES


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