Computer Science Masters

Survey on Classification Techniques for Opinion Mining and Sentiment Analysis

Hemmatian and Sohrabi, Artificial Intelligence Review 52 (2019): a systematic survey of classification methods for opinion mining and sentiment analysis. Covers the opinion-mining pipeline and compares techniques for aspect extraction, polarity classification, summary generation and evaluation, with machine-learning and lexicon-based approaches and their trade-offs.

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6 lessons
3 summaries
2 decks
2 tests

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Study plans & video lessons

Preview of Study Plan: Classification Techniques for Opinion Mining and Sentiment Analysis

Study Plan: Classification Techniques for Opinion Mining and Sentiment Analysis Create a 4-6 lesson study plan on classification techniques for opinion mining and sentiment analysis, grounded only in the indexed survey material, with emphasis on technique families, lexicon-based methods, machine learning subtypes, comparison criteria, and synthesis. 6 lessons 265 min

Summaries

Foundations of Opinion Mining and the Role of ClassificationFrom: A_survey_on_classification_tec Summary 2: Lexicon-Based and Comparative Perspectives on Sentiment ClassificationFrom: A_survey_on_classification_tec Summary 1: Classification Techniques in Opinion Mining and Sentiment AnalysisFrom: A_survey_on_classification_tec

Flashcard decks

Flashcards 2: Lexicon-Based Sentiment Classification8 cards Flashcards 1: Core Classification Families in Sentiment Analysis8 cards

Practice tests

Practice Test 2: Lexicon-Based and Comparative Sentiment Analysis6 questions · pass 50% Practice Test 1: Sentiment Classification Technique Families6 questions · pass 50%