Automated Sentiment/Tone Analysis : Cision Portal

Automated Sentiment/Tone Analysis
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Modified on: Fri, 24 Feb, 2023 at 3:58 PM

The ability to analyse positive, negative, and neutral emotion from earned media is a problem that is often a challenge for comms professionals. It is this type of analysis, however that is needed to measure the public’s reaction to announcements that can have a measurable financial impact on business. Using advanced natural language processing and artificial intelligence, the Cision Communications Cloud is able to identify the emotive phrases within a document, score these phrases, and combine them to discern the overall sentiment of a piece of content. This automated capability enables comms teams to quickly identify the emotional tone of earned media campaigns.

	Structure Your Earned Media Content Automatically organizing your earned media coverage by sentiment enables your teams to visualize emotive trends and patterns into easy to read reports and graphs.
	Understand with Accuracy Cision utilizes the largest collection of structured text to electronically reference the value of positive and negative vocabulary in context in real time.
	Utilise Natural Language Processing Automatically dissect content into its basic parts of speech to properly identify structural elements of the writing (verbs, nouns, adjectives, adverbs etc.) to mimic how humans read and identify emotions in text.
	Utilize Natural Language Processing Automatically dissect content into its basic parts of speech to properly identify structural elements of the writing (verbs, nouns, adjectives, adverbs etc.) to mimic how humans read and identify emotions in text.
	Capture Emotional Context on Multiple Subjects Natural language processing works at both the article as a whole, as well as around selected company keywords for enhanced context identification surrounding the individual entity.