A Simple Method for Mining and Visualizing Company Relations based on Web Sources

نویسندگان

  • Maximilien Kintz
  • Jan Finzen
چکیده

One of the important aspects of market and competitive intelligence is the observation and analysis of a partner, customer or competitor’s relations with other companies. Using Web-based sources such as press releases, corporate Web sites or news articles and text mining technologies such as Named Entity Recognition, it is possible to automatically extract company relations out of Web content and to build network graphs showing how companies interact. Visualization software that can be integrated in a Webbased application offers means to explore, search, and analyse these networks and their meaning for a company. In this paper we demonstrate how to build a powerful company relation mining application with very little effort by effectively connecting open source toolkits.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Visualizing Multiple System Atrophy Studies Based on Collaboration Network and Centrality Indices in Web of Science Database

Introduction: Social network analysis is an analytical method based on graph theories that identifies relationships between individuals or factors to analyze the social structures resulted from those relationships. The objective of this study was to analyze co-authorship and co-word networks based on scientometric indicators and centrality measures in the studies on multiple atrophy system dise...

متن کامل

Design and Test of the Real-time Text mining dashboard for Twitter

One of today's major research trends in the field of information systems is the discovery of implicit knowledge hidden in dataset that is currently being produced at high speed, large volumes and with a wide variety of formats. Data with such features is called big data. Extracting, processing, and visualizing the huge amount of data, today has become one of the concerns of data science scholar...

متن کامل

Visualizing Multiple System Atrophy Studies Based on Collaboration Network and Centrality Indices in Web of Science Database

Introduction: Social network analysis is an analytical method based on graph theories that identifies relationships between individuals or factors to analyze the social structures resulted from those relationships. The objective of this study was to analyze co-authorship and co-word networks based on scientometric indicators and centrality measures in the studies on multiple atrophy system dise...

متن کامل

Learning and Visualizing Cultural Heritage Connections between Places on the Semantic Web

Semantic web techniques can be used to relate two things together. However, usually this relation is not accompanied with a measure that would tell how interesting the relation is. Data mining tradition provides interestingness measures; it is natural to try and fit semantic web and data mining traditions together. In this paper we use support and confidence values provided by association rule ...

متن کامل

A Technique for Improving Web Mining using Enhanced Genetic Algorithm

World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the methods for web mining is evolutionary algorithms which search according to the user interests...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011