Resumen

GORDILLO MARTINEZ, Lizeth. The Impact of the Social Media Sentiment Index on S&P500 Returns. The Anáhuac j. [online]. 2024, vol.24, n.1, pp.222-245.  Epub 26-Ago-2024. ISSN 2683-2690.  https://doi.org/10.36105/theanahuacjour.2024v24n1.08.

The study of the development and analysis of sentiment indexes through social media is a recent technique that has captured interest because it can identify stock price tendencies. Also, using artificial intelligence to quickly analyze large volumes of data from various information sources has created a new way of evaluating massive amounts of information from social media. Natural language processing (NLP) is the preferred method for this research. Originating in the 1950s, NLP emerged at the junction of artificial intelligence and linguistics. Initially, it was used to retrieve information in text. It uses methods based on statistics to effectively index and search large sections of text.

Palabras llave : Twitter; social media; natural language processing; sentiment analysis; artificial intelligence; news.

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