Sentiment Analysis (SA) is a new, fast growing scientific field, which makes it quite difficult for people, e.g.: marketing executives, sociologists, etc. to stay up to date to the vast possibilities, this field offers. But also for students, who are interested in learning a subject, apart from university, this task can be quite demanding. Due to technological advancements, it is easy to gain knowledge about aspects of SA, but it still takes time to experiment and analyze various techniques. Therefore, in this presentation, there will be an overview of the different approaches of SA, and how some of them can be applied. This includes the coding language Python, libraries/toolkits, and the involvement of social media. The primary goal is to give an overview of existing possibilities of SA implementations.
Schlüsselwörtersentiment analysis probability level toolkit libraries
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