Process / pipelineText-as-data / opinion mining
Sentiment Analysis in Communication
Sentiment analysis is the automated estimation of the valence — positive, negative, or neutral tone — of communication messages, adapted from natural-language processing into a core measurement technique for media and communication research. It lets scholars quantify the tone of news coverage, the affect of social-media discourse, or audience reactions across corpora far too large for hand coding, while treating tone as a measurable, validatable construct.
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来源
- 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: 10.1177/0261927X09351676 ↗
- Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89. DOI: 10.1080/19312450709336664 ↗
如何引用本页
ScholarGate. (2026, June 22). Sentiment Analysis for Communication and Media Research. ScholarGate. https://scholargate.app/zh/communication/sentiment-analysis-communication
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。
- 内容分析质性↔ 比较
- Framing AnalysisCommunication↔ 比较
- LIWC Text AnalysisCommunication↔ 比较
- Manifest Content AnalysisCommunication↔ 比较
- 情感分析文本挖掘↔ 比较