Text as signal. A tutorial with case studies focusing on social media (Twitter).

ABSTRACT: Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potential of treating automatically coded text collected with regular sampling intervals as a signal is currently overlooked. We use the phrase "text as signal" to refer to the application of signal processing techniques to coded textual documents sampled with regularity. In order to illustrate the potential of treating text as signal, we introduce the reader to a variety of such techniques in a tutorial with two case studies in the realm of social media analysis. First, we apply finite response impulse filtering to emotion-coded tweets posted d

SUBMITTER: Mayor E 

PROVIDER: S-EPMC9311346 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature