Linganisha mbinu

	LIWC Text Analysis	Sentiment Analysis in Communication
Nyanja	Communication	Communication
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2001	2010
Mwanzilishi	James W. Pennebaker and colleagues	Adapted into communication research from NLP / opinion mining
Aina	Dictionary-based quantitative text analysis	Automated classification of message valence/tone
Chanzo asilia	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.	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.
Majina mbadala	Linguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin Analizi	Opinion mining in communication, Tone analysis, Media sentiment analysis, İletişimde Duygu Analizi
Zinazohusiana	4	5
Muhtasari	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.	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.