NetMapper - 网络规划和分析软件

从多种各样的源数据中提取元网络数据可能是困难的,但是使用NetMapper提取和分析这数据很便捷。NetMapper可以直接输出到ORA Pro进行分析和可视化,使您的工作比以往更便捷。NetMapper是一种支持从文本中提取网络,并在上下文层次上分配情感的工具。每个文本被单独处理,并导出该文本的网络表示形式。NetMapper与ORA是可互操作的,给定文本,NetMapper可以提取概念和概念之间的链接,可以快速定制NetMapper来支持提取感兴趣的术语。










  • 线上测试:可采集网络上活动设备的名称,IP地址及MAC地址,并辨识出路由器、印表机及PC机等设备

  • 离线测试:显示出线缆接线线序,线缆绞线状况、测试线缆长度,音频发射和定位hub/switch埠所对应的相对埠的功能

  • 可侦测线缆短路、短路、错线,绞线对错误及地线的通断

  • 在接线图测试中,使用编号远端,可快速方便的定位网络中段杜工作站的位置

  • Pin-to-pin的显示网线测试结果

  • 测试线缆的长度不需要连接副机端即可测试得到长度结果

  • 在长度测试中,对特殊非标准线材可通过自定义方式取得的测量结果

  • 可以切换公制和英制单位

  • Prot- finder功能,可以辨别出于本终端机相对应的网络连接端口

  • 产生1kHz的频率在每个pin上发送4个不同的音调

  • 大屏幕显示

  • 电池电源,低电量显示



NetMapper is a tool that suports extracting networks from texts and assigning sentiment at the context level. Each text is processed separately and a network representation of that text is exported.

NetMapper is interoperable with ORA. Given a text, NetMapper extracts both concepts and links among them. NetMapper can be rapidly customized to support extraction of just terms of interst.


The output from NetMapper is in CSV and in the xml format read by ORA. NetMapper is lexicon based and an extensive set of thesauri, translation files and delete lists in over 40 languages. In addition, it also supports the use of user-generated domain thesauri and delete lists. Hence, users who are working in a specialized area or on a specialized topic can fine tune what concepts are extracted using the domain files.


Input: Types of Texts

Currently, to use NetMapper the user must put each text to be processed into a txt file.Generally, images should be removed. Examples of types of texts include:

● News documents

● Journal articles

● Blog posts

● tweets


NetMapper can accept data in multiple formats:


● UTF-8

● UTF-16

● UTF-32


Types of Networks Supported

Two types of networks ca be extracted:semantic networks and meta-networks.The semantic networks are concept to concept networks. From an ORA perspective, all concepts are treated as being of type knowledge.

The meta-networks are concept to concept except.


NetMapper creates networks through link generation. After the thesauri and delete lists are applied then NetMapper extracts the networks by identifying links among concepts. A link is placed between two concepts when they are within the window of operation. The window of operation is defined by either or both number of concepts and syntactic structure (e.g.number of clauses, sentences, or paragraphs). The exist default choices which have been found empirically to lead to the best results for the type of texts being examined. However, the user can choose to change the defaults by sepcifying:


● Window size based on number of words

● Window size based on number of syntactic units

● Whether or not deleted terms are "counted" in defining the size of the window


Finally, NetMapper auto detects language and moves correctly either from left to right up to down, or the reverse. The user may define the languages in the input file(s). This is on a per file basis, however the UI allows for languages selected for a given file to easily be selected for all other files. There is also the option to have languages detection on or off. If off and no languages are selected for a given file, the default is English. If there are languages defined and language detection is enabled, NM will search the file for additional languages and add any to the list of languages to be used that score above a certain threshold.





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