University of Sunderland Sent

Response 1:                              

Sentiment analysis is an essential step in analyzing the impact of people’s actions on future investors. The goal of sentiment analysis is to predict the future returns of their portfolio. Sentiment analysis is an information-gathering technique used to understand whether and how someone reacts to a series of news events such as the latest scandal, controversial legislation, or new tax breaks. In a nutshell, the message is considered necessary or significant when some people perceive that the story is being mistreated (Soleymani et al., 2017). Sentiment analysis can be applied to any event in society. Sentiment analysis is a systematic analysis of how people feel about a particular subject. Sentiment analysis is an excellent way to learn about emotions. It is not easy to analyze what causes people to adopt a particular opinion or attitude. Sentiment analysis describes the process of finding relationships among several variables in order to find a predictive relationship. Sentiment analysis helps identify trends in the world of business (Soleymani et al., 2017).

The main challenge is using a simple machine learning algorithm to measure sentiment analysis using simple statistical models. This should be easy when people know which kind of analysis they want to perform. Since they will be using machine learning to calculate sentiment and use them to predict results, it is worth studying a straightforward method. Sentiment Analysis is a mathematical method to determine whether a group is “sentimental,” meaning they value positive or negative feelings based on their behavior. There are many different ways to evaluate opinions (Sharda et al., 2020). Sentiment analysis, used in various fields, can reveal an individual’s beliefs and values. For example, it can reveal a person’s political beliefs and his or her personality type. While the exact mechanism behind this phenomenon is not fully understood, some scientists theorize that these beliefs (and personality type) are related. In addition, sentiment analysis is the study of what is causing people to lose interest. Sentiment Analysis methods can easily miss subtle shifts in sentiment based on changing information (Sharda et al., 2020).

References

Soleymani, M., Garcia, D., Jou, B., Schuller, B., Chang, S. F., & Pantic, M. (2017). A survey of multimodal sentiment analysis. Image and Vision Computing, 65, 3-14.

Sharda, R., Delen, Dursun, and Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11 ed.). By PEARSON Education. Inc.

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