In-depth Thesis and Journal Critiquing in Nigeria
Ezeani Nneka Salome,
Orjiakor Paul Ikechukwu,
Dosunmu Jokotade Omotayo,
Emumejakpor Idowu Samson
Issue:
Volume 3, Issue 3, September 2019
Pages:
55-61
Received:
24 June 2019
Accepted:
16 July 2019
Published:
31 July 2019
Abstract: Research is an indispensable tool in academics endeavor, business decisions, social and economic analysis, conducted in order to unveil certain problems and contributes to the body of knowledge in any particular discipline of study. This study examined an In-Depth thesis and Journal critiquing in Nigeria. An explorative, method of research was employed. This study was carried out to ensue originality and quality Students/Scholars work, in order to make significant contribution to knowledge in addition to satisfy the conditions of the awards of required certificate before embarking on the study. The reviewed literatures of this study include; the need for research thesis and journal, structural differences/similarities between a thesis and a journal articles, the exploration of research resources, Research Ethics, Components of a Critique Material, Assessor’s stake in critiquing Journal Publication. A well-deserved and outstanding research work needs the guidelines and details provided in this study imperatively.
Abstract: Research is an indispensable tool in academics endeavor, business decisions, social and economic analysis, conducted in order to unveil certain problems and contributes to the body of knowledge in any particular discipline of study. This study examined an In-Depth thesis and Journal critiquing in Nigeria. An explorative, method of research was empl...
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MLPV: Text Representation of Scientific Papers Based on Structural Information and Doc2vec
Yonghe Lu,
Yuanyuan Zhai,
Jiayi Luo,
Yongshan Chen
Issue:
Volume 3, Issue 3, September 2019
Pages:
62-71
Received:
15 July 2019
Accepted:
12 August 2019
Published:
28 August 2019
Abstract: Text representation is the key for text processing. Scientific papers have significant structural features. The different internal components, mainly including titles, abstracts, keywords, main texts, etc., embody different degrees of importance. In addition, the external structural features of scientific papers, such as topics and authors, also have certain value for analysis of scientific papers. However, most of the traditional analysis methods of scientific papers are based on the analysis of keyword co-occurrence and citation links, which only consider partial information. There is a lack of research on the textual information and external structural information of scientific papers, which has led to the inability to deeply explore the inherent laws of scientific papers. Therefore, this paper proposes Multi-Layers Paragraph Vector (MLPV), a text representing method for scientific papers based on Doc2vec and structural information of scientific papers including both internal and external structures, and constructs five text representation models: PV-NO, PV-TOP, PV-TAKM, MLPV and MLPV-PSO. The results show that the effect of the MLPV model is much better than the PV-NO, PV-TOP and PV-TAKM models. The average accuracy of MLPV model is much more stable and higher, reaching 91.71%, which proves its validity. On the basis of the MLPV model, the accuracy of the optimized MLPV-PSO model is 3.33% higher than MLPV model which proves the effectiveness of the optimization algorithm.
Abstract: Text representation is the key for text processing. Scientific papers have significant structural features. The different internal components, mainly including titles, abstracts, keywords, main texts, etc., embody different degrees of importance. In addition, the external structural features of scientific papers, such as topics and authors, also ha...
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Topic Analysis of Microblog About “Didi Taxi” Based on K-means Algorithm
Issue:
Volume 3, Issue 3, September 2019
Pages:
72-79
Received:
30 July 2019
Accepted:
16 August 2019
Published:
2 September 2019
Abstract: In the age of information and digitization, most users publish and obtain real-time information by microblog in social networks. Through effective means, we can accurately discover, organize, and utilize the valuable information hidden behind the massive short texts of social networks. Then we can explore hot topics in microblog, which is conducive to public opinion monitoring and marketing development. In today's society, Didi Taxi has become a necessary choice for many users to travel. This paper applied K-means clustering algorithm to topic analysis of Sina microblog short text on Didi Taxi. We crawled 17226 search results of microblog relevant to the topic of Didi Taxi from April 2019 to June 2019. After a series of data cleaning and data preprocessing steps, we used TF-IDF method to represent 15054 pieces of text data after processing. Through the evaluation of silhouette coefficient, we set the dimension of text 300 and the number of clusters 34 with K-means. Next, we extracted 8 topic clusters from 34 clusters, which include the advantages and disadvantages of Didi Taxi and its development status. Finally, we discussed the results by human check in semantic perspective. Through the topic analysis of microblog, we can understand the public’s attitude to Didi Taxi and provide the basis for the management of the government or company in the future.
Abstract: In the age of information and digitization, most users publish and obtain real-time information by microblog in social networks. Through effective means, we can accurately discover, organize, and utilize the valuable information hidden behind the massive short texts of social networks. Then we can explore hot topics in microblog, which is conducive...
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