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ConceptAnalysis of the Media1.5.1

Media Sentiment Index

It is the mathematical calculation of the general tone created by the words used in news texts as positive, negative, or neutral.

How an event is exactly presented to the outside is completely directly related to the word choices and writing style passing in the text. Sentiment analysis successfully and quickly measures the overall atmosphere of the news by mathematically summing up the emotional loads carried individually by the words in the text. This calculation aims to show the statistical tone of the words at a basic level.

Example: A headline containing ‘crisis’, ‘collapse’, ‘disaster’ statistically giving a highly negative tone.

Go deeper

The sentiment index is used to understand through which lens a publication looks at events. When it is done with rule-based dictionaries instead of machine learning, the results become more transparent. It can resolve simple structures by changing the weight of words before and after contrast conjunctions (but, however). However, this method cannot perceive irony, sarcasm, or implicit messages. For this reason, sentiment analysis should be considered not as a definitive truth, but as a useful compass showing the general atmosphere created by the media.

MagPunk answers → 2.3.4 Sentiment and Status Quo Test
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1.5.1 M5: Sentiment Index

M5

Shows how to read the spread behind a single daily average.

The data in this chart is fictional — it is not a measurement.
+100 +50 −50 −100 Day 1Day 2Day 3Day 4Day 5Day 6Day 7
The data is fictional; the module shows how the index is read. A single daily average hides the spread behind it: the same average can mean "every item slightly negative" or "half strongly negative, half positive." The real accuracy of MagPunk's sentiment measurement is in the report card in 2.6.1.