1"use strict";(self.webpackChunkeventregistry=self.webpackChunkeventregistry||[]).push([["js_constants_dataModels_constant_ts"],{
1"./js/constants/dataModels.constant.ts":(e,n,t)=>{t.r(n),t.d(n,{ARTICLE_DATA_MODEL:()=>i,CATEGORY_DATA_MODEL:()=>r,CONCEPT_DATA_MODEL:()=>s,EVENT_DATA_MODEL:()=>o,SOURCE_DATA_MODEL:()=>l,articleDataModel:()=>c,categoryDataModel:()=>m,conceptDataModel:()=>h,dataModels:()=>g,eventDataModel:()=>d,mentionDataModel:()=>u,sourceDataModel:()=>p});var a=t("./node_modules/@angular/core/fesm2022/root_effect_scheduler.mjs");const i=new a.nKC("articleDataModel"),o=new a.nKC("eventDataModel"),s=new a.nKC("conceptDataModel"),r=new a.nKC("categoryDataModel"),l=new a.nKC("sourceDataModel"),c='\n{\n // article\'s URI (unique article\'s ID - not necessarily a number)\n "uri": "143701955",\n // web url\n "url": "http://www.Newsmax.com/Newsfront/obama-staff-veterans-revamp/2013/12/18/id/542478",\n // article\'s title\n "title": "Desperate Obama Tries to Reset Agenda with New Staff",\n // article\'s full body\n "body": "As Phil Schiliro arrived at his first meeting last ...",\n // date and time we found the article in UTC timezone (same as dateTime below, but split into date and time)\n "date": "2013-12-18",\n "time": "11:40:00",\n // datetime when we found and serialized the article in UTC timezone. Each next article added to Event Registry will have a higher value\n "dateTime": "2013-12-18T11:40:00Z",\n // the datetime provided in the RSS feed or in article\'s metadata. The value chosen is the value closest to the datetime when the article was identified. The value is not monotonically increasing as the articles are added to Event Registry\n "dateTimePub": "2013-12-18T11:12:00Z",\n // language of the article\n "lang": "eng",\n // is article a duplicate of another article?\n "isDuplicate": false,\n // type of the article (news, blog, or pr)\n "dataType": "news",\n // sentiment of the article (can be null if value is not set). Between -1 (very negative) and 1 (very positive).\n "sentiment": -0.2,\n // event URI to which the article is assigned to (if any)\n "eventUri": "eng-2320588",\n // relevance represents how well does the article match the query - the higher the value, the better the match.\n // If search results are sorted by relevance, this is the value used for sorting\n "relevance": 34,\n // cluster/story URI to which the article is assigned to (if any)\n "storyUri": "eng-2320588",\n // article\'s image\n "image": "https://cdn.arstechnica.net/wp-content/uploads/2013/07/you-slow.jpg",\n "source": {\n // details about the news source (see Source data model)\n },\n "categories": [\n // list of categories (see Category data model)\n ],\n "concepts": [\n // list of concepts (see Concept data model)\n ],\n // list of article\'s authors\n "authors": [\n {\n "uri": "[email protected]",\n "name": "John Doe",\n "type": "author",\n "isAgency": false\n },\n ...\n ],\n // list of links extracted from the article body\n "links": [\n "https://techcrunch.com/2017/11/29/coinbase-internal-revenue-service-taxation/",\n ...\n ],\n // list of videos extracted from the body\n "videos": [\n {\n "uri": "https://www.youtube.com/embed/Phtb6nZWiW0",\n "label": "GoPro on a Cat Left Home Alone"\n },\n ...\n ],\n "shares": {\n "facebook": 1, // number of shares on Facebook\n "googlePlus": 5, // shares on Google Plus (discontinued)\n "pinterest:" 2, // shares on Pinterest\n "linkedIn": 1 // shares on LinkedIn (discontinued)\n }\n // if an article has duplicates, this list will contain the URIs of the duplicate articles\n "duplicateList": [],\n // dates that were extracted from the article\n "extractedDates": [\n {\n "amb": false, // ambiguous?\n "date": "2013-12-03", // normalized date\n "dateEnd": "2013-12-08",\n "detectedDate": "Dec. 3-8", // detected string\n "imp": true, // was the year value imputed?\n "posInText": 6164, // location in text\n "textSnippet": "ublican attacks. A Dec. 3-8 poll of 86 competit"\n },\n // remaining list of extracted dates\n ],\n "location": null, // was there explicit location extracted from dateline?\n "originalArticle": null, // if this is a duplicate, this would be original article\'s object\n "sim": 0.3906, // cosine similarity of the article to the centroid of the story\n "wgt": 12341243, // parameter used internally for sorting purposes (DO NOT USE THE VALUE)\n}\n',d='\n{\n // event URI\n "uri": "eng-33403979",\n // total articles reporting about the event\n "totalArticleCount": 100,\n // articles per language\n "articleCounts": {\n "deu": 82,\n "eng": 18\n },\n // relevance represents how well does the article match the query - the higher the value, the better the match.\n // If search results are sorted by relevance, this is the value used for sorting\n "relevance": 34,\n // when the event happened\n "eventDate": "2016-04-24",\n // sentiment of the event (can be null if value is not set). Between -1 and 1.\n "sentiment": -0.2,\n // how much impact on social media did articles about the event get\n "socialScore": 91.4,\n // images about the event\n "images": [\n "https://s.yimg.com/iu/api/res/1.2/6UFJrRnyw2A6g2AluS0rsw--/YXBwaWQ9eXZpZGVvO2ZpPXVsY3JvcDt3PTY5NjtoPTM1NDtkeD0xO2R5PTE7Y3c9NTExO2NoPTI4ODtxPTcwO249MTtyb3RhdGU9YXV0bw--/https://s.yimg.com/ea/img/-/151231/9c2c262efe2356511db7197c9881586532ebe450-1b88bu9.jpg",\n "http://www.usnews.com/cmsmedia/60/1b7fa9a9715152863ace8d91f7a8f5/media:b89ea0bb94754cb9bce137c9e9f7fd0bObama.JPEG"\n ],\n // event title in languages where we found some reporting\n "title": {\n "deu": "Obama kommt zur Erffnung der Hannover Messe",\n "eng": "White House says Obama will make 5th visit to Germany, take in trade show"\n },\n // event summary in available languages\n "summary": {\
1n "deu": "Hannover (dpa) US-President Obama kommt 2016 wieder nach Deutschland: In Hannover erffnet er die Industrieschau. Die werden sein als 2013. ",\n "eng": "HONOLULU, Hawaii - The White House says President Barack Obama will travel to Germany in late April to attend the world\'s largest trade show for industrial technology. Obama will also meet with Germany Chancellor Angela Merkel."\n },\n "concepts": [\n // list of concepts (see Concept data model)\n ],\n "categories": [\n // list of categories (see Category data model)\n ],\n // which dates have been frequently found in articles about this event\n "commonDates": [\n {\n "date": "2016-04-24",\n "freq": 11\n },\n // remaining common dates\n ],\n // where did the event happen\n "location": {\n "country": {\n "area": 357021,\n "code2": "DE",\n "code3": "DEU",\n "continent": "Europe",\n "currencyCode": "EUR",\n "currencyName": "Euro",\n "geoNamesId": "2921044",\n "label": {\n "eng": "Germany",\n "spa": "Alemania"\n },\n "lat": 51.5,\n "long": 10.5,\n "population": 81802257,\n "type": "country",\n "webExt": ".de",\n "wikiUri": "http://en.wikipedia.org/wiki/Germany"\n },\n "featureCode": "P.PPLA",\n "geoNamesId": "2910831",\n "label": {\n "eng": "Hanover",\n "spa": "Hannover"\n },\n "lat": 52.37052,\n "long": 9.73322,\n "population": 515140,\n "type": "place",\n "wikiUri": "http://en.wikipedia.org/wiki/Hanover"\n },\n "stories": [\n // list of clusters reporting about the event\n ],\n "wgt": 12341243, // parameter used internally for sorting purposes (DO NOT USE THIS VALUE)\n}\n',u='\n{\n // mention URI\n "uri": "7536951383-0",\n // sentence expressing the relation\n "sentence": "Swedish Orphan Biovitrum to acquire CTI BioPharma in a deal valued at $1.7 billion.",\n "sentenceIndex": 0,\n // relation type\n "eventType": {\n "uri": "et/business/acquisitions-mergers/acquisition/approved",\n "label": "et/business/acquisitions-mergers/acquisition/approved"\n },\n "lang": "eng",\n // date of article publication\n "dateTime": "2023-05-10T07:52:00Z",\n // article URI, where the sentence is mentioned\n "articleUri": "7536951383",\n "articleUrl": "https://www.marketwatch.com/story/swedish-orphan-biovitrum-to-acquire-cti-biopharma-in-a-deal-valued-at-1-7-billion-70a7b809",\n "articleTitle": "Swedish Orphan Biovitrum to acquire CTI BioPharma in a deal valued at $1.7 billion",\n "articleImageUrl": "https://s.wsj.net/public/resources/MWimages/MW-GP644_MicroS_ZG_20180906154215.jpg",\n // various sentiment scores\n "articleSentiment": 0.5450980392156863,\n "sentenceSentiment": 0.4431372549019608,\n "eventTypeSentiment": 0.589994161,\n // is this the first mention of this relation or a duplicate\n "isDuplicate": false,\n // how factual is the statement in the sentence\n "factLevel": "fact",\n "factLevelProb": 1,\n "location": null,\n // to which framework does the relation belong\n "frameworks": {\n "sdg": null,\n "sasb": null,\n "esg": null\n },\n // what are the topics of the article where the sentence is mentioned\n "categories": [\n {\n "uri": "dmoz/Business/Management/Value_Based_Management",\n "label": "dmoz/Business/Management/Value Based Management",\n "wgt": 100\n },\n {\n "uri": "dmoz/Shopping/Tobacco/Smokeless",\n "label": "dmoz/Shopping/Tobacco/Smokeless",\n "wgt": 100\n }\n ],\n // news source where the relation was identified\n "source": {\n "uri": "marketwatch.com",\n "title": "MarketWatch"\n },\n // mentioned entities and details about them\n "slots": [\n {\n "uri": "http://en.wikipedia.org/wiki/Swedish_Orphan_Biovitrum",\n "label": "Swedish Orphan Biovitrum",\n "text": "Swedish Orphan Biovitrum",\n "type": "org",\n "synonyms": {\n "isin": [\n "US8703211065"\n ]\n }\n },\n {\n "text": "CTI BioPharma",\n "type": "org"\n },\n {\n "text": "$1.7 billion",\n "type": "money"\n }\n ],\n "validSlots": true,\n "wgt": 421401120,\n "relevance": 27\n}\n',h='\n{\n // concept\'s URI\n "uri": "http://en.wikipedia.org/wiki/United_States",\n // concept type - person, loc, org or wiki\n "type": "loc",\n // image of the concept\n "image": "http://upload.wikimedia.org/wikipedia/commons/thumb/0/03/USA-satellite.jpg/1280px-USA-satellite.jpg",\n // concept labels in requested languages\n "label": {\n "eng": "United States",\n "spa": "Estados Unidos"\n },\n // if concept is a location, below are location details\n "location": {\n "area": 9629091,\n "code2"
1: "US",\n "code3": "USA",\n "continent": "Noth America",\n "currencyCode": "USD",\n "currencyName": "Dollar",\n "geoNamesId": "6252001",\n "label": {\n "eng": "United States",\n "spa": "Estados Unidos"\n },\n "lat": 39.76,\n "long": -98.5,\n "population": 310232863,\n "type": "country",\n "webExt": ".us",\n "wikiUri": "http://en.wikipedia.org/wiki/United_States"\n },\n // synonyms for the concept, if any\n "synonyms": {\n "eng": [\n "USA",\n "U.S.A."\n ]\n }\n}\n',m='\n{\n // category\'s URI\n "uri": "dmoz/Society/Issues/Warfare_and_Conflict",\n // URI of the parent category\n "parentUri": "dmoz/Society/Issues",\n // category label\n "label": "Society/Issues/Warfare_and_Conflict"\n}\n',p='\n{\n {\n // URI of the news source\n "uri": "bbc.co.uk"\n // title\n "title": "BBC News",\n "description": "",\n // social media accounts of the media\n "socialMedia": {\
1n "twitter": "BBCNews"\n },\n "ranking": {\n "importanceRank": 51301, // importance of the source (in range 0 - 1,000,000; low value -> high importance)\n "alexaGlobalRank": 123412, // global ranking of the website based on Amazon Alexa\n "alexaCountryRank": 412 // country level ranking of the website based on Amazon Alexa\n },\n // geographical location of the source\n "location": {\n "country": {\n "area": 244820,\n "code2": "GB",\n "code3": "GBR",\n "continent": "Europe",\n "currencyCode": "GBP",\n "currencyName": "Pound",\n "geoNamesId": "2635167",\n "label": {\n "spa": "Reino Unido"\n },\n "lat": 54.75844,\n "long": -2.69531,\n "population": 62348447,\n "type": "country",\n "webExt": ".uk",\n "wikiUri": "http://en.wikipedia.org/wiki/United_Kingdom"\n },\n "featureCode": "P.PPLC",\n "geoNamesId": "2643743",\n "label": {\n "spa": "Londres"\n },\n "lat": 51.50853,\n "long": -0.12574,\n "population": 7556900,\n "type": "place",\n "wikiUri": "http://en.wikipedia.org/wiki/London"\n },\n // source images\n "image": "http://www.some-larger-logo-for-the-source.png",\n "thumbImage": "http://www.some-small-logo-for-the-source.png"\n }\n}\n',g=[{title:"Article data model",description:"Available details that can be returned about an individual article.",value:c},{title:"Event data model",description:"Available details that can be returned about an individual event.",value:d},{title:"Mention data model",description:"Available details that can be returned about an individual mention.",value:u},{title:"Concept data model",description:"Events and articles can return a list of concepts that are associated with them. For each concept, a number of available properties can be returned.",value:h},{title:"Category data model",description:"Articles and events can return a list of categories that are associated with them. Here are the possible details provided for each category.",value:m},{title:"News source data model",description:"News articles are associated with a news source. Below is the available information about a news source.",value:p}]}
1}]);
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.