Several approaches to sentiment analysis exist, and the discipline remains an area of active research. Lexicon The simplest and oldest form of sentiment analysis is lexicon-based.

Because of this, the company decided to build its sentiment analysis machine learning models from scratch. Pickle’s approach uses a supervised learning model in combination with unsupervised ...

Machine language and deep learning approaches to sentiment analysis require large training data sets. Commercial and publicly available tools often have big databases, but tend to be very generic ...

Hybrid Method: Combining rule-based and machine learning approaches, this method aims to harness the strengths of both while mitigating their individual weaknesses. Types of Sentiment Analysis ...

· Deep Learning Approach: Deep neural networks like CNNs and transformer-based architectures e.g BERT and GPT perform well in sentiment analysis · Machine Learning Approach: Support Vector ...