article
During trading sessions, the stock market experiences a multitude of fluctuations that are influenced by an extensive array of factors. This is especially pertinent to businesses that attract substantial international interest, such as streaming platforms that have shown a noteworthy increase in popularity in recent times. The objective of this research is to examine the fluctuations in the value of Netflix shares during the time period that correlates with the release of particular films that elicited significant reactions. The research utilizes natural language processing (NLP) and sentiment analysis approaches to preprocess the movie evaluations and calculate the sentiment score. The study yields thought-provoking findings concerning the correlation between movie release dates and the closing price.
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DOI: 10.3390/engproc2025112031
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