With the development of large scale text processing, the dimension of text feature space has become larger and larger, which has added a lot of difficulties to natural language processing. How to reduce the dimension...With the development of large scale text processing, the dimension of text feature space has become larger and larger, which has added a lot of difficulties to natural language processing. How to reduce the dimension has become a practical problem in the field. Here we present two clustering methods, i.e. concept association and concept abstract, to achieve the goal. The first refers to the keyword clustering based on the co occurrence of展开更多
为了解国内煤矿安全生产中瓦斯研究的整体概况,促进该领域的进一步的发展,对有关煤矿生产中研究瓦斯的文献进行可视化知识图谱分析.以2005年—2019年间收录于中国知网的2261篇关于煤炭行业5大期刊中以煤矿瓦斯为主题的核心文献为基础数...为了解国内煤矿安全生产中瓦斯研究的整体概况,促进该领域的进一步的发展,对有关煤矿生产中研究瓦斯的文献进行可视化知识图谱分析.以2005年—2019年间收录于中国知网的2261篇关于煤炭行业5大期刊中以煤矿瓦斯为主题的核心文献为基础数据,基于Cite Space V图谱分析软件,对论文产出进行可视化分析,以描述该领域的研究热点及未来发展趋势.结果表明:我国煤矿安全生产中瓦斯领域的研究先后经历上升阶段、峰期阶段、平稳阶段3个发展阶段.笔者主要以林柏泉、程远平、尹光志等为核心,研究机构集中在高校和研究院,瓦斯抽采、煤与瓦斯突出、瓦斯治理、增透技术等是研究中的关键词,结合综合研究方法、数值分析方法,并合理应用各模拟软件等新理念将成为未来煤矿安全生产中瓦斯领域的研究趋势之一.展开更多
In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of t...In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF＊IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model （IVSM）. A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved.展开更多
在借鉴Cite Space等相关文献计量方法的基础上,利用Web of Science中的KCI数据库的文献数据,通过关键词共现、聚类分析、战略坐标和关键词突现分析等方法,梳理韩国口译研究的主题、热点与前沿,对韩国口译研究进行结构化解析和图谱式呈...在借鉴Cite Space等相关文献计量方法的基础上,利用Web of Science中的KCI数据库的文献数据,通过关键词共现、聚类分析、战略坐标和关键词突现分析等方法,梳理韩国口译研究的主题、热点与前沿,对韩国口译研究进行结构化解析和图谱式呈现。韩国口译研究的发文时间分布在2002-2022年间,主题有“同声传译”“交替传译”“口译教学”“口译译员”“旅游口译”“司法口译”“医疗口译”“口译策略”等。“译员角色”“口译技巧”“翻译文本”是核心关注点,其研究较为成熟。除此之外,公共服务方面的口译研究在韩国也已较为成熟。“口译策略”目前热度较高,是当今韩国口译领域的研究热点和前沿。展开更多
文摘With the development of large scale text processing, the dimension of text feature space has become larger and larger, which has added a lot of difficulties to natural language processing. How to reduce the dimension has become a practical problem in the field. Here we present two clustering methods, i.e. concept association and concept abstract, to achieve the goal. The first refers to the keyword clustering based on the co occurrence of
文摘为了解国内煤矿安全生产中瓦斯研究的整体概况,促进该领域的进一步的发展,对有关煤矿生产中研究瓦斯的文献进行可视化知识图谱分析.以2005年—2019年间收录于中国知网的2261篇关于煤炭行业5大期刊中以煤矿瓦斯为主题的核心文献为基础数据,基于Cite Space V图谱分析软件,对论文产出进行可视化分析,以描述该领域的研究热点及未来发展趋势.结果表明:我国煤矿安全生产中瓦斯领域的研究先后经历上升阶段、峰期阶段、平稳阶段3个发展阶段.笔者主要以林柏泉、程远平、尹光志等为核心,研究机构集中在高校和研究院,瓦斯抽采、煤与瓦斯突出、瓦斯治理、增透技术等是研究中的关键词,结合综合研究方法、数值分析方法,并合理应用各模拟软件等新理念将成为未来煤矿安全生产中瓦斯领域的研究趋势之一.
基金Project supported by the Science Foundation of Shanghai Municipal Commission of Science and Technology （Grant No.055115001）
文摘In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF＊IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model （IVSM）. A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved.
文摘在借鉴Cite Space等相关文献计量方法的基础上,利用Web of Science中的KCI数据库的文献数据,通过关键词共现、聚类分析、战略坐标和关键词突现分析等方法,梳理韩国口译研究的主题、热点与前沿,对韩国口译研究进行结构化解析和图谱式呈现。韩国口译研究的发文时间分布在2002-2022年间,主题有“同声传译”“交替传译”“口译教学”“口译译员”“旅游口译”“司法口译”“医疗口译”“口译策略”等。“译员角色”“口译技巧”“翻译文本”是核心关注点,其研究较为成熟。除此之外,公共服务方面的口译研究在韩国也已较为成熟。“口译策略”目前热度较高,是当今韩国口译领域的研究热点和前沿。
