Adverse Media Screening

introduction signs adverse media screening uses contextualized sentiment analysis with machine learning to replace the traditional keyword approach with signzy's api, users are able to determine the emotional meaning or context of a given article, whether it be positive, negative, or neutral our solution can score and predict negative news articles with a high degree of accuracy, and reduce false positives by 50% or more, because we only provide results that are truly negative supposedly, a word “murder” in any paragraph would be marked as adverse media if we use a traditional method of keyword searching however, the article could be about a plot twist of a netflix series that's why we could not rely on traditional keyword searching methods that's why at signzy we utilize machine learning, natural language processing and statistics to determine the meaning of an article adverse media source examples bbc, the new york times, al jazeera, washington post, gulf news, cnn, the telegraph, fox news, the world bank, wall street journal, mumbai mirror, the asian age, the seattle times, caribbean new now, china daily, the indian express, bangkok post, sydney morning herald, chicago tribune, newsroom panama, winnipeg sun, and thousands more how does the signzy sentiment analysis works? sentiment analysis for the adverse media provides a confidence score for articles based on actual negative sentiment in the article by doing this, we reduce the number of false positives our confidence band is divided into three bands high – 80% confidence and higher moderate – 50% to 79% low – 0% to 49% confidence how often our are sources updated? our adverse media solution is updated with new articles from all sources every day and goes back as far as the original source's archives are available on their websites us media sources typically go back many, many years some country’s media sources do not offer archives and in those rare occasions, we have data going back to the date the source was added to our platform sources from where we usually pull data general news crime courts animal rights human rights corruption terrorism business financial politics governments military security our global sourcing analyst team is responsible for identifying approving, configuring and maintaining all sources, our solution utilizes the following sources are disqualified and are not included in our solution's source list blogs fake news unregistered/ illegally established media when a media source is deemed authorized for our solution, the global sourcing analyst team only configures the features within the media source that are relevant to our solution we do not activate the capture of articles from non essential chapters, like sports, entertainment, obituaries, etc sample input to obtain the outcomes of adverse media, it is possible to conduct a comprehensive search across all categories simultaneously or employ the various category filters provided below adverse/negative media categories abbreviation name allnm all nm categories anrts animal rights bufin business & financial crcrt crime & courts gnews general news misec military & security nmcor corruption pogov politics & government input curl location request post 'https //api signzy app/api/v3/global/pep nm wls' \\ \ header 'authorization < auth token >'\\ \ header 'content type application/json' \\ \ data raw '{ "subject" "donald trump", "categories" "allnn", "aliases" \[ "potus" ], "needstranslation" false, "dateofbirthfilter" false }' output { "result" { "recordsfound" true, "subject" "donald trump", "results" { "wlsresults" null, "nmresults" \[ { "productid" "nm", "score" 1, "sourceid" 436, "category" "gnews", "resultid" 1, "subjectmatched" "donald trump", "text" "north korean leader kim jong un has confused a lot of english speakers —though this time not about what he intends with his nuclear programme responding to us president donald trump's bellicose warning to pyongyang in his first speech to the un on tuesday, kim on friday called trump a \\"dotard\\" — at least in a translation by the state news agency kcna “\\"now that trump has denied the existence of and insulted me and my country in front of the eyes of the world and made the most ferocious declaration of a war in history ", "url" "http //gulfnews com/news/americas/usa/kim s insult to trump what s a dotard anyway 1 2094366", "sentimentconfidencelevel" "high" }, { "productid" "nm", "score" 1, "sourceid" 761, "category" "bufin", "resultid" 2, "subjectmatched" "donald trump", "text" "what else to watch for\ on yet another planet â appropriators continued acting as if all is normal, and are proceeding with the 2012 spending bill process in the absence of any agreement on a top line spending number after a bruising tuesday battle over spending for the environmental protection agency and interior department as well as the dozens of environmental riders in the bill that democrats say are gifts to polluters, house appropriations will take up bills for commerce, justice and the legislative branch on wednesday the legislative branch bill cuts house office budgets, which has led to some grumbling from the back benches the commerce, justice and science bill is most controversial for eliminating the local law enforcement cops program, and for cutting the national science foundation budgets advertisementwhat was that about entitlements? the chief actuaries for both medicare and social security are set to discuss the two programs’ futures with the house budget committee tomorrow\ ", "url" "http //thehill com/policy/finance/171085 overnight money three week warning", "sentimentconfidencelevel" "high" }], "pepresults" null }, "translatedsubject" null, "translatedresults" { "wlsresults" null, "nmresults" null, "pepresults" null } } } }