Process / pipelineText-as-data methods
Dictionary-Based Text Analysis
Dictionary-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.
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来源
- Pennebaker, 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: 10.1146/annurev.psych.54.101601.145041 ↗
- Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267–297. DOI: 10.1093/pan/mps028 ↗
如何引用本页
ScholarGate. (2026, June 22). Dictionary-Based Text Analysis in Communication. ScholarGate. https://scholargate.app/zh/communication/dictionary-based-text-analysis-comm
选用哪种方法？
将本方法与其最相近的同类并置，并排研读——本馆将书籍铺陈于案上，取舍则由您定夺。
- Automated Content AnalysisCommunication↔ 比较
- LIWC Text AnalysisCommunication↔ 比较
- Manifest Content AnalysisCommunication↔ 比较
- Sentiment Analysis in CommunicationCommunication↔ 比较