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Por qué necesitas Deep Semantic Analytics - MeaningCloud webinar

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Descubre Deep Semantic Analytics: cómo automatizar la comprensión profunda de documentos complejos.
Webinar MeaningCloud, 12 de julio de 2017.
Más información y contenidos del webinar https://www.meaningcloud.com/es/blog/grabacion-del-webinar-por-que-necesitas-deep-semantic-analytics
www.meaningcloud.com

Published in: Technology
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Por qué necesitas Deep Semantic Analytics - MeaningCloud webinar

  1. 1. Automatiza la comprensión profunda de documentos complejos 12 julio 2017 Webinar
  2. 2. Por qué necesitas Deep Semantic Analytics Antes de empezar Ponente Cómo vamos a funcionar • Enviar preguntas de texto a través del chat • “Levanta la mano” para hablar y abriremos tu micro • Publicaremos enlace a webinar grabado y contenidos como tutoriales en blog Antonio Matarranz CMO
  3. 3. Por qué necesitas Deep Semantic Analytics El propósito de este webinar… Entender el valor que aporta la Analítica Semántica Profunda de documentos complejos
  4. 4. Por qué necesitas Deep Semantic Analytics Agenda  Comprensión automática de documentos no estructurados.  En qué consiste Deep Semantic Analytics. Comparación con la analítica de texto convencional.  Dónde se puede aplicar.  Caso práctico: proceso de due diligence.  Cómo debería ser una buena solución de Deep Semantic Analytics.  Roadmap MeaningCloud en Deep Semantic Analytics.  Conclusiones y preguntas.
  5. 5. Por qué necesitas Deep Semantic Analytics OpinionesTemas Hechos Conceptos Organizaciones Personas Análisis Semántico Relaciones Analítica de texto convencional Un primer nivel de comprensión automática del contenido no estructurado
  6. 6. Por qué necesitas Deep Semantic Analytics Extrayendo elementos aislados de información  Detectar de manera no ambigua y dependiente del contexto apariciones bajo diversos sinónimos  Categorización temática  Mucho más que detectar cadenas de texto Donald Trump takes major step to wiping out Obama’s climate-change record Presidential order will instruct federal regulators to rewrite key rules curbing carbon emissions President Trump’s executive order will tell the EPA to begin rewriting the 2015 regulation that limits greenhouse-gas emissions from existing power plants Justin Lane/EPA President Trump will take the most significant step yet in obliterating his predecessor’s environmental record on Tuesday, instructing federal regulators to rewrite key rules curbing US carbon emissions. The sweeping executive order also seeks to lift a moratorium on federal coal leasing and remove the requirement that federal officials consider the impact of climate change when making decisions. The order sends an unmistakable signal that just as President Barack Obama sought to weave climate considerations into every aspect of the federal government, Trump is hoping to rip that approach out by its roots. Entidades: Barack H. Obama, POTUS44 Donald J. Trump, POTUS45 Conceptos: Emisiones de gas invernadero Cambio climático Orden presidencial Gobierno federal Regulador federal Temas: Calentamiento global Legislación EE.UU.
  7. 7. Por qué necesitas Deep Semantic Analytics Extraer datos aislados no es suficiente ¿Qué pasa si quiero encontrar…? “Todos los contratos donde aparece D. Aureliano Buendía como comprador de un inmueble por valor de más de 250.000 €.” “Todas las empresas que tienen un accionista con más del 40% del capital.” “Todas las noticias que hablan de la posible adquisición de una compañía por parte de Google.”
  8. 8. Por qué necesitas Deep Semantic Analytics Analítica de Texto convencional Deep Semantic Analytics Descubre el significado profundo de documentos complejos Es necesario ir más allá de la Analítica de Texto convencional
  9. 9. Por qué necesitas Deep Semantic Analytics Comparación Deep Semantic Analytics / Analítica de Texto Analítica de Texto convencional Deep Semantic Analytics  Extracción de información: entidades con nombre, conceptos, cantidades…  Categorización temática general  Análisis de sentimiento  Clustering  Resúmenes automáticos  Etc. Lo que ofrece la Analítica de Texto convencional +  Categorización a nivel de fragmento  Extracción de relaciones semánticas  Otras funcionalidades?
  10. 10. Por qué necesitas Deep Semantic Analytics Categorización a nivel de fragmento Feeling That Trump Will ‘Say Anything,’ Europe Is Less Restrained, Too HAMBURG, Germany — The Europeans have stopped trying to paper over their differences with President Trump and the United States. Traditionally respectful of American leadership and mindful of the country’s crucial role in European defense and global trade, European leaders normally repress or soften their criticism of United States presidents. But here at the Group of 20 summit meeting of the world’s industrialized nations, public splits with Mr. Trump were the order of the day. Mr. Macron, who waved his iPhone around during the meeting as a symbol of global trade, sharply criticized those like Mr. Trump who do not support multilateral institutions but push nationalism instead. “We need better coordination, more coordination,” Mr. Macron said. “We need those organizations that were created out of the Second World War. Otherwise, we will be moving back toward narrow-minded nationalism.” Mr. Trump and the British vote to leave the European Union “have proved to be great unifiers for the European Union,” said Mark Leonard, the director of the European Council on Foreign Relations. “There is a renewed sense of confidence in Europe after the French election,” the apparent retreat of populism, an increase in economic growth and the prospect of Ms. Merkel’s re-election in September, he said. The strains were most visible here on climate policy and trade. Mr. Trump’s withdrawal from the Paris accord was widely condemned, with Ms. Merkel saying she deplored the move, and all the leaders aside from Mr. Trump signing up to language that called the agreement “irreversible.” The climate debate in the meeting displayed how hard it is to isolate the richest, most powerful country in the world. Prime Minister Theresa May of Britain, her authority weakened at home after a botched election gamble, also tried to balance Mr. Trump’s deep unpopularity in Britain with her need for American support for the country’s exit from the European Union and for future trade deals She was criticized for not making the climate issue one of her four priorities here, and found comfort in Mr. Trump’s promise of a “very powerful” trade deal for a post-“Brexit” Britain that could be completed “very, very quickly.” On trade, there was more effort to find compromise, with previous G-20 positions for free trade and against protectionism watered down to secure American support. The communiqué cited, for the first time, the right of countries to protect their markets with “legitimate trade defense instruments” — wording that essentially gives Mr. Trump room to pursue his “America first” policy on issues like steel imports, where Washington is talking about restrictions based on “national security.” Política internacional Cumbre G20 Conflicto diplomático Nacionalismo Elecciones Política sobre el clima Brexit Proteccionismo
  11. 11. Por qué necesitas Deep Semantic Analytics Extracción de relaciones semánticas IRVING, Texas, March 2 /PRNewswire/ -- Exxon Mobil Corporation (NYSE: XOM) announced today that it has reached agreement to sell Exxon's 130,000 b/d Benicia, California, refinery and California fuels marketing assets, and to assign California supply arrangements, to Valero Energy Corporation. In addition to the refinery, the sale involves Exxon's interest in about 340 service stations. The assets will be purchased for $895 million plus an amount for inventories and working capital which will be based on market-related prices at closing. The supply arrangements and assets involved in the Valero Energy Corporation sale satisfy the conditions required by the Federal Trade Commission (FTC) and the State of California, which signed a parallel consent order and approved the ExxonMobil merger on November 30, 1999. The final terms of the sale between ExxonMobil and Valero Energy Corporation require approval by the FTC and the State of California. Acuerdo compraventa Exxon's Benicia, California, refinery and California fuels marketing assets Exxon Mobil Corporation $895 million plus an amount for inventories and working capital Valero Energy Corporation Vendedor Comprador Activo Precio
  12. 12. Por qué necesitas Deep Semantic Analytics Juan García Industrial Manufacturera, S.L. Tecnologías Globales, S.A. Tema: Negocios - Empresas Juan García Industrial Manufacturera, S.L. Tecnologías Globales, S.A. Ha adquirido Es directivo Negocios – Fusiones y Adquisiciones Negocios – Directivos de empresa Descubriendo el significado profundo de documentos complejos Deep Semantic Analytics
  13. 13. Por qué necesitas Deep Semantic Analytics APLICACIONES
  14. 14. Por qué necesitas Deep Semantic Analytics Aplicación a contratos  Tipificación general  Identificación y categorización de clausulas • Ej.: intervinientes, duración, indemnizaciones… • Presente / ausente • Típica / atípica  Extracción de términos en cláusulas • Identificación y papel de intervinientes • Fechas de inicio y final, duración • Legislación aplicable • Cantidad de indemnización
  15. 15. Por qué necesitas Deep Semantic Analytics Aplicación a informes financieros  Identificación y categorización de apartados • Presente / ausente • Típica / atípica  Extracción de términos en apartados • Principales accionistas: identificación y volumen de acciones • Empresas participadas: identificación y porcentaje de participación • Concentración cifra de negocio en ciertos clientes: identificación y porcentaje
  16. 16. Por qué necesitas Deep Semantic Analytics Aplicación a noticias  Categorización a nivel de fragmento  Extracción de relaciones significativas (p.ej., market- moving information) • Fusiones y adquisiciones • Inversiones • Compraventa de líneas de negocio • Nuevos proyectos • Nuevos acuerdos de colaboración • Nuevas patentes
  17. 17. Por qué necesitas Deep Semantic Analytics Aplicación a información de salud  Real-World Evidence • Prevalencia de enfermedades • Eficacia de medicamentos • Comportamientos y uso • Descubrimiento de efectos adversos Historiales clínicos, publicaciones científicas, foros especializados…
  18. 18. Por qué necesitas Deep Semantic Analytics CASO PRÁCTICO
  19. 19. Por qué necesitas Deep Semantic Analytics Caso práctico: due diligence  Análisis de miles de documentos complejos: contratos, informes, etc.  Labor típicamente manual • Errores • Discrepancias • Retrasos
  20. 20. Por qué necesitas Deep Semantic Analytics Automatización due diligence (1) 1. Clasificar por tipo de documento • Acuerdo de compraventa, Contrato laboral, Acuerdo de confidencialidad, Contrato de arrendamiento… 2. Analizar cada contrato para detectar e identificar sus cláusulas y otras partes • Título, Intervinientes, Fecha, Duración, Cesión, Cambio de control, Derecho aplicable, Fuerza mayor, Indemnización, Limitación de responsabilidad…
  21. 21. Por qué necesitas Deep Semantic Analytics Automatización due diligence (2) 3. Dentro de las diferentes cláusulas, extraer datos y relaciones clave • Intervinientes → identificación completa y detallada de las partes • Duración → plazo durante el cual el acuerdo es efectivo • … Ejemplo: cláusula de duración …The term of this Contract shall commence on January 19, 2017 and continue until January 18, 2018. … <contract_dates> <valid_from>2017-01-19</valid_from> <valid_to>2018-01-18</valid_to> </contract_dates>
  22. 22. Por qué necesitas Deep Semantic Analytics Ejemplo: cláusula de intervinientes …This Contract is made this 4th day of January in the year 2017 by and between the BIG BANK CORPORATION (hereinafter referred to as the "Purchaser"), having its principal office at 10 A Street, N.W., Washington D.C. 20433 and TechnologyVendor, LLC hereinafter referred to as the "Contractor"), a corporation incorporated under the laws of the state of New York having a principal place of business at 30 Broad Rd, Union NJ 07083... <eligible_contract_participants> <purchaser> <name>BIG BANK CORPORATION</name> <location><address>10 A Street, N.W.</address><city>Washington D.C.</city><zip>20433</zip></location> </purchaser> <contractor> <name>TechnologyVendor, LLC</name> <location><address>30 Broad Rd</address><city>Union</city><state> New Jersey</state><zip>07083</zip></locatio n> </contractor> </eligible_contract_participants>
  23. 23. Por qué necesitas Deep Semantic Analytics Ejemplo: cláusula de indemnización …Vendor shall pay BIG BANK the amounts specified below, either in immediately available funds or as a credit as elected by BIG BANK in its sole discretion, within thirty (30) days after such breach of the corresponding Vendor obligation: Vendor Obligation Amount Payable Upon Breach Unauthorized Data Access USD 1,000,000 Unauthorized Data Modification, Addition, Deletion USD 1,000,000 Unauthorized Data Disclosure USD 10,000,000 Unauthorized Transfer of Data USD 10,000,000… <obligations> <obligation><description>Unauthorized Data Access</description><amount>USD 1,000,000</amount></obligation> <obligation><description>Unauthorized Data Modification, Addition, Deletion</description><amount>USD 1,000,000</amount></obligation> <obligation><description>Unauthorized Data Disclosure</description><amount>USD 1,000,000</amount></obligation> <obligation><description>Unauthorized Transfer of Data</description><amount>USD 1,000,000</amount></obligation> </obligations>
  24. 24. Por qué necesitas Deep Semantic Analytics Automatización due diligence (3) 4. Obtener insights valiosos del conjunto de documentos.
  25. 25. Por qué necesitas Deep Semantic Analytics Automatización due diligence (3) 4. Obtener insights valiosos del conjunto de documentos.
  26. 26. Por qué necesitas Deep Semantic Analytics SOLUCIONES DEEP SEMANTIC ANALYTICS
  27. 27. Por qué necesitas Deep Semantic Analytics Cómo debería ser una buena solución Deep Semantic Analytics  Analizar información en diversos formatos y presentaciones: texto, PDF, Word, formato libre, tablas  Exactitud en la extracción de insights, con independencia del dominio  Flexibilidad en el tipo de insights a extraer y productividad en su definición  Multiidioma  Alta escalabilidad, disponibilidad y confidencialidad  Mínimos costes y riesgo en su adopción  Time-to-benefit corto
  28. 28. Por qué necesitas Deep Semantic Analytics MeaningCloud: “Meaning as a Service” (SaaS y on-premises) Regístrate y úsalo GRATIS en http://www.meaningcloud.com
  29. 29. Por qué necesitas Deep Semantic Analytics APIs MeaningCloud Identifica apariciones de nombres de personas, organizaciones…, conceptos abstractos, cantidades, etc. Clasifica por temas según taxonomías predefinidas Identifica polaridad general y por atributos Identifica el lenguaje de entre un conjunto de 60 Análisis morfosintáctico detallado Evalúa el impacto de opinión sobre varios ejes reputacionales Descubre temas significativos y similitudes entre textos, sin partir de taxonomías predefinidas
  30. 30. Por qué necesitas Deep Semantic Analytics APIs MeaningCloud para Deep Semantic Analytics 1. Define tu modelo • Ontología de dominio • Reglas semánticas (+ sintácticas + léxicas) Texto 2. Extrae insights profundos • Categorización a nivel de fragmento • Patrones complejos • Relaciones semánticas 3. Escala • Calidad • Fiabilidad • Tiempo real • Multiidioma
  31. 31. Por qué necesitas Deep Semantic Analytics APIs MeaningCloud para Deep Semantic Analytics  APIs para • Categorización a nivel de fragmento • Extracción de relaciones semánticas  Tecnología basada en • Análisis morfosintáctico y semántico profundo • Reglas semánticas para definir categorías y relaciones  Beneficios: • Gran exactitud • Alta productividad en definición, evaluación y evolución • No requiere entrenamiento masivo  En beta en varios clientes
  32. 32. Por qué necesitas Deep Semantic Analytics En conclusión Deep Semantic Analytics añade mucho valor Algunos ya lo están implementando Juan García Industrial Manufacturera, S.L. Tecnologías Globales, S.A. Tema: Negocios - Empresas Juan García Industrial Manufacturera, S.L. Tecnologías Globales, S.A. Ha adquirido Es directivo Negocios – Fusiones y Adquisiciones Negocios – Directivos de empresa
  33. 33. Por qué necesitas Deep Semantic Analytics Turno de Preguntas
  34. 34. Por qué necesitas Deep Semantic Analytics Permaneced atentos a nuestros emails y blog Pronto publicaremos la grabación del webinar y los contenidos en forma de tutorial
  35. 35. Por qué necesitas Deep Semantic Analytics Antonio Matarranz, amatarranz@meaningcloud.com sales@meaningcloud.com support@meaningcloud.com http://www.meaningcloud.com @MeaningCloud https://www.linkedin.com/company/meaningcloud Gracias por vuestra atención!  MeaningCloud LLC 35-37 36th St. Astoria, New York 11106 +1 (646) 403-3104  MeaningCloud Europe SL Llano Castellano 13 28034 Madrid (Spain) +34 91 3324301

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