What is Sentiment Analysis?
Sentiment Analysis is a fascinating area of data science that deals with determining the emotional tone behind a body of text. It is widely used in voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.
How Does It Work?
At its core, sentiment analysis uses natural language processing (NLP) to categorize text as positive, negative, or neutral. Techniques can range from simple algorithms such as lexicon-based approaches to more advanced machine learning and deep learning models.
Use Cases
- Customer Feedback Analysis: Understand your customers' needs and feelings.
- Social Media Monitoring: Stay on top of public perceptions of your brand.
- Market Research: Gain insights into product perception and trends.