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Dictionary-Based Text Analysis×LIWC Text Analysis×
Lĩnh vựcCommunicationCommunication
HọProcess / pipelineProcess / pipeline
Năm ra đời20032001
Người khởi xướngLexicon tradition (Pennebaker LIWC; General Inquirer)James W. Pennebaker and colleagues
LoạiWord-count text measurement against predefined category dictionariesDictionary-based quantitative text analysis
Công trình gốcPennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003). Psychological aspects of natural language use: Our words, our selves. Annual Review of Psychology, 54, 547–577. DOI ↗Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. DOI ↗
Tên gọi khácLexicon-based text analysis, Word-count text analysis, Dictionary method for content analysis, Sözlük Tabanlı Metin AnaliziLinguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin Analizi
Liên quan44
Tóm tắtDictionary-based text analysis measures concepts in text by counting how often words belonging to predefined category lists — dictionaries — appear in each document. It is the workhorse lexicon method behind tools like LIWC and the General Inquirer, prized for its transparency and scalability: a category score is simply the share of a document's words that match the category's word list.LIWC (Linguistic Inquiry and Word Count) is a dictionary-based text-analysis method that counts the proportion of words in a text falling into psychologically and linguistically meaningful categories — such as positive emotion, cognitive processing, social references, and function words like pronouns. Developed by James Pennebaker and colleagues, it has become a workhorse for quantifying the psychological and rhetorical character of communication at scale.
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ScholarGateSo sánh phương pháp: Dictionary-Based Text Analysis · LIWC Text Analysis. Truy cập ngày 2026-06-24 từ https://scholargate.app/vi/compare