Hey data enthusiasts! I’m knee-deep in a marketing project that involves analyzing customer reviews. Any personal stories or examples of using natural language processing or machine learning for sentiment analysis? What worked best for you?
For sentiment analysis, I’ve had success using a combination of rule-based methods and machine learning algorithms. Rule-based approaches allow for precise control, while ML algorithms provide flexibility in capturing nuances
In my project, I used pre-trained language models like BERT for sentiment analysis. They already have a good understanding of language, so it saves time and delivers reliable results