ScholarGate
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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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  1. 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
  2. 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

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ScholarGate. (2026, June 22). Sentiment Analysis for Communication and Media Research. ScholarGate. https://scholargate.app/lv/communication/sentiment-analysis-communication

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ScholarGateSentiment Analysis in Communication (Sentiment Analysis for Communication and Media Research). Izgūts 2026-06-24 no https://scholargate.app/lv/communication/sentiment-analysis-communication · Datu kopa: https://doi.org/10.5281/zenodo.20539026