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Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]
Topsy Pro Analytics was a commercial web dashboard application that allowed users to conduct interactive analysis on keywords and authors by activity, influence, exposure, sentiment, language or geography. [19] Users could discover the most relevant tweets, links, photos and videos for any term from Topsy's index of hundreds of billions of ...
TipTop Technologies is a real-time web and social search engine with a platform for semantic analysis of natural language.Tip-Top Search provides results capturing individual and group sentiment, opinions, and experiences there from the content of various sorts such as real-time messages from Twitter or consumer product reviews on Amazon.com. [1]
These forces are then measured via statistical analysis of the nodes and connections between these nodes. [8] Social analytics also uses sentiment analysis, because social media users often relay positive or negative sentiment in their posts. [11] This provides important social information about users' emotions on specific topics. [12] [13] [14]
Since then, Extractor has added many new capabilities, including relationship and event extraction, categorization, name translation, geotagging, and sentiment analysis, as well as entity extraction in other languages. Other products were added later to the NetOwl suite, namely TextMiner, NameMatcher, and EntityMatcher.
The report labeled 19 individuals, including two prominent figures from the #BlackLivesMatter movement, as "threat actors." [ 6 ] In the UK, the Association of Chief Police Officers of England, Wales, and Northern Ireland emphasized the significance of social media in intelligence gathering during anti-fracking protests in 2011.
A contributor review in PRWeek in 2012 said Viralheat's strengths were its sentiment analysis, simplicity, price and customer service, but that its filtering tools were "a little rough around the edges." [26] In March 2013, Network World tested eight social media management tools. The reviewer found that Viralheat was the lowest cost, and ...