Sentiment analysis is an NLP technique that categorizes text as positive, negative, or neutral to understand the emotional tone. It involves preprocessing text, using machine learning, and finds applications in:
1. Business Insights:
– Analyzing customer feedback, reviews, and sentiments to enhance products or services.
2. Social Media Monitoring:
– Understanding user opinions and trends on platforms like Twitter, Facebook, etc.
3. Financial Market Analysis:
– Assessing market sentiment by analyzing news articles, social media, and financial reports.
4. Customer Service:
– Monitoring and responding to customer sentiments for improved support.
5. Political Analysis:
– Gauging public opinion during elections or political events.
Sentiment analysis helps organizations make data-driven decisions and stay attuned to public sentiment in various domains.