Performing a sentiment analysis

Social media offers an invaluable resource for understanding one’s customers. However, going through thousands of social media data (e.g., comments) manually in order to interpret their meaning takes a lot of time.
Using natural language processing (NLP) techniques, you can automatize the process and uncover the emotions that best describe your dataset. For example, you can analyze whether a review is positive, negative, or neutral. With regards to finance a possible use case could be: Analyzing how news paper articles influence the stock price of a company.
The process of interpreting the meaning of text by NLP is called sentiment analysis. Such an analysis can help you know your customers better and tailor your services according to their needs.