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Everything about Sentiment analysis
Textual emotion detection method
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Sentiment analysisA 5-minute orientation
- Skim a recent paper: A survey on sentiment analysis methods, applications, and challengesInfluential work since 2022
- Pick up a classic book: Erlebte Rede in der russischen LiteratureThe most-reprinted book on the subject
- Read the landmark paper: Sentiment Embeddings with Applications to Sentiment AnalysisCited 240 times
- Go sideways: Multimodal sentiment analysisA closely related topic
- Go sideways: Emotion recognitionA closely related topic
📖 Definitions
Noun The use of computers to process natural language in an attempt to identify and extract information about the writer's affective state.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Sentiment Embeddings with Applications to Sentiment Analysis
Sentiment Analysis
Cinematica Sentiment Analysis
Constructing domain-dependent sentiment dictionary for sentiment analysis
Multimodal Sentiment Analysis
Sentiment Analysis
Contextual Sentiment Neural Network for Document Sentiment Analysis
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
🆕 Influential since 2022
A survey on sentiment analysis methods, applications, and challenges
Sentiment-aware multimodal pre-training for multimodal sentiment analysis
Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis
Social Media Sentiment Analysis
Sentiment Difficulty in Aspect-Based Sentiment Analysis
📚 Books worth reading
Erlebte Rede in der russischen LiteratureRobert Hodel · 2001
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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