Course description

In sentiment analysis using logistic regression, a model is trained using a labeled dataset of text and their corresponding sentiment labels. The model learns to classify new text based on the patterns in the training data. The model outputs a probability score between 0 and 1, which indicates the likelihood that the text expresses positive sentiment. A threshold is then used to convert the probability score into a binary classification label.

What will i learn?

• By analyzing the sentiment of large volumes of customer feedback
• Sentiment analysis can help businesses identify customer issues and complaints quickly
• Sentiment analysis can help businesses identify the features and aspects of their products or services that customers like or dislike.