Sentiment Analysis: What It Is and How Emotions in Text Are Analyzed
Sentiment Analysis is a method of computational linguistics used to identify the emotional tone of a text.
Types of Sentiment
Negative — expresses criticism, dissatisfaction, or unfavorable opinions;
Neutral — contains no strong emotional evaluation;
Positive — reflects approval, satisfaction, or favorable reactions.
Applications
Marketing and brand monitoring;
Analysis of customer feedback and user reactions;
Development of advertising campaigns and offers;
Customer experience management.
Approaches to Sentiment Analysis
Rule-based analysis using linguistic patterns;
Lexicon-based analysis using sentiment dictionaries that evaluate the strength of emotional expressions;
Machine learning and big data approaches.
Marketing terms in simple language.
SMM Team marketer glossary.
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