使用期限租赁和*
许可形式单机和网络版
原产地韩国
介质下载
适用平台windows
科学软件网销售软件达19年,有丰富的销售经验以及客户资源,提供的产品涵盖各个学科,包括经管,仿真,地球地理,生物化学,工程科学,排版及网络管理等。此外,我们还提供很多附加服务,如:现场培训、课程、解决方案、咨询服务等。
Semantic Network Package
NetMiner的语义网络分析使您能够从非结构化文本数据中提取单词,例如、文章、SNS,并获得一个单词网络并将其可视化。此外,tf-idf(术语频率-反文档频率,文档中文字的重要性)和部分的语音可用于过滤。WordCloud还可以通过使用NetMiner的各种中心度量来可视化单词的重要性,以及主题建模使您能够识别主题。
a. 将文本数据转换为文字网络
b. 词性标注
c. 用户词典
d. 主题建模
e. 词汇云
系统要求
Operating System
NetMiner can be installed only on Microsoft Windows OS.
- Microsoft Windows 2000/XP/Vista/7/8 (32bit & 64bit) (* Display problem may occur in Windows 8.)
Memory
- Min.512 MB (Tiny, Small, Medium, Large)
- Min.6GB (Huge. 64bit O/S) for loading 1,000,000 nodes & 10,000,000 links.
* 'Huge' size license is only for 64bit O/S.
Hard disk
- 400 MB of available hard-disk space is required for software installation.
Display
- VGA Monitor (1024x768 resolution)
Internet Access
- Internet Access is required for software upgrades.
USB Slot
- USB port is required for plugging-in USB flashdrive-looking hardware license key for Perpetual License/Usage.
NetMiner generates a network map in three dimensions. Also the point of view can be changed at user's pleasure, users can explore the network more easily and in great detail.
a.
Biblio Data Collector (BDC) can collect the bibliographic information directly from online
with Open API or can import the paper bibliographic information files that may have been
already collected and saved by other sites.
And based on the paper bibliographic information collected, BDC can extract various
correlations (e.g. Co-authorship Network) in it, and also analyze texts of title and abstract
for the purpose of further analysis on document’s content.
The feature of Semantic Network Analysis that NetMiner is equipped on version 4.3 and after
enables users to extract words from unstructured text data in news articles, academic papers,
interviews or tweets and to create a word network with them.
Furthermore, the Word Cloud and Topic modeling help users to visualize the words by the
level of importance and to identify cost-efficiently the topics in the text
2020年,北京天演融智软件有限公司申请高等教育司产学合作协同育人项目,“大数据”和“机器学习”师资培训项目,以及基于OBE的教考分离改革与教学评测项目已获得批准。我们将会跟更多的高校合作,产学融合协同育人。
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