Artificial Intelligence
What is Sentiment Analysis
Detecting emotional tone of text
Sentiment Analysis is a natural language processing method for determining the emotional tone of text: positive, negative, or neutral.
Types of Analysis
- Polarity — positive/negative/neutral
- Emotions — joy, sadness, anger, fear
- Aspect-based analysis — sentiment by specific aspects
- Intensity — degree of emotion expression
Implementation Methods
- Lexicon-based methods — based on emotion dictionaries
- Machine Learning — classifiers (SVM, Naive Bayes)
- Deep Learning — LSTM, BERT, GPT
- Hybrid approaches — combination of methods
Business Applications
- Brand reputation monitoring
- Customer review analysis
- Social media and PR
- Market research
- Support ticket processing
Metrics and Evaluation
- Accuracy, Precision, Recall
- F1-score
- Confusion Matrix
- Cohen's Kappa