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Research on the Public Perception of Yangzhou Historical and Cultural Districts Based on Network Review text analysis

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Journal of Landscape Research 2023年第3期15卷 36-41页

作者： WU Tao SHAO Yuanhua College of Horticulture and Landscape Architecture Yangzhou UniversityYangzhouJiangsu 225009China

The historical and cultural districts of a city serve as important cultural heritage and tourism resources.This paper focused on four such districts in Yangzhou and performed semantic analysis on online public comments using ROST CM6 software.According to the high frequency words,attention preference of district site elements,activities and feelings in Yangzhou historical and cultural districts were analyzed.Through the analysis of semantic network and public emotional tendency,the relationship between the protection and utilization of Yangzhou historical and cultural districts and the perception and demand of users were discussed,and some suggestions for the protection,utilization and renewal of historical and cultural districts were put forward.

关键词： Yangzhou historical and cultural districts text analysis Public perception Protection and renewal

Priorities for Social and Humanities Projects Based on text analysis

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Journal of Data and Information Science 2020年第4期5卷 116-125页

作者： Ülle Must Archimedes Foundation Väike-Turu Street 8Tartu 51004Estonia

Purpose:Changes in the world show that the role,importance,and coherence of SSH(social sciences and the humanities)will increase significantly in the coming years.This paper aims to monitor and analyze the evolution(or overlapping)of the SSH thematic pattern through three funding instruments since 2007.Design/methodology/approach:The goal of the paper is to check to what extent the EU Framework Program(FP)affects/does not affect research on national level,and to highlight hot topics from a given period with the help of text analysis.Funded project titles and abstracts derived from the EU FP,Slovenian,and Estonian RIS were used.The final analysis and comparisons between different datasets were made based on the 200 most frequent words.After removing punctuation marks,numeric values,articles,prepositions,conjunctions,and auxiliary verbs,4,854 unique words in ETIS,4,421 unique words in the Slovenian Research Information System(SICRIS),and 3,950 unique words in FP were identified.Findings:Across all funding instruments,about a quarter of the top words constitute half of the word occurrences.The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects.In some cases,it may be due to using different vocabulary.There is more overlapping between words in the case of Slovenia(SL)and Estonia(EE)and less in the case of Estonia and EU Framework Programmes(FP).At the same time,overlapping words indicate a wider reach(culture,education,social,history,human,innovation,etc.).In nationally funded projects(bottom-up),it was relatively difficult to observe the change in thematic trends over time.More specific results emerged from the comparison of the different programs throughout FP(top-down).Research limitations:Only projects with English titles and abstracts were analyzed.Practical implications:The specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as,for example,in the exact sciences.Thus,even in co-word analysis,the

关键词： text analysis SSH Estonian Research Information System(ETIS) Slovenian Research Information System(SICRIS) Community Research and Development Information Service(CORDIS)

text analysis: A Functional Linguistic Approach of News Introduction

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读与写(教育教学刊) 2009年第7期6卷 9-10页

作者：刘锦凤上海东华大学外语学院

The past several decades have witnessed a phenomenal growth in interest in text analysis, in which different kinds of approaches have been studied and applied in this field. This paper aims at analyzing the introduction of a chosen CNN News from a functional linguistic approach, which is mainly realized through cohesive means and textual information. The study shows that in written text, well-organized semantic cohesive means and textual information are of great significance for readers to follow the movement of an idea from one sentence to another. Therefore, functional approach plays a momentous role in the analysis of a text.

关键词： text analysis functional approach cohesive means textual information

The Thematic Progression Patterns and text analysis of Necklace

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海外英语 2018年第3期 201-203页

作者：朱汉敏湖北大学外国语学院

This paper is an attempt to discuss the relationship between genre and the thematic progression. Through qualitative analysis of the short story Necklace of Maupassant, it is found that narrative texts always use the linear theme pattern and the constant theme pattern, and sometimes the derived theme pattern and other patterns are also used to facilitate the text coherence and the plot development. Thematic progression in various fields has been studied extensively, but the analysis aims to short story is less than text coherence and other aspects. And there are some implications to teaching, writing, reading, and translation.

关键词： thematic progression patterns text analysis Necklace SFG

On the Greatness of The Great Gatsby——About the text analysis of The Great Gatsby

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海外英语 2017年第8期 185-186页

作者：左美玲湖南师范大学

The Great Gatsby is universally recognized as one of the masterpieces in the world literature. This thesis adopts the methods of comparison, contrast, and quotation to explore why Great Gatsby is great. This thesis analyzes the text from the three aspects:the greatness in Gatsby's economic success, the greatness in Gatsby's perseverance of love, the greatness of Gatsby's personality. In this way, the readers can understand the great Gatsby's greatness.

关键词： The Great Gatsby greatness text analysis

Phytochemical interventions for post-traumatic stress disorder:A cluster co-occurrence network analysis using CiteSpace

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Journal of Integrative Medicine 2023年第4期21卷 385-396页

作者： Biao Gao Yi-cui Qu Meng-yu Cai Yin-yin Zhang Hong-tao Lu Hong-xia Li Yu-xiao Tang Hui Shen Department of Naval Nutrition and Food Hygiene Naval Medical UniversityShanghai 200433China Teaching and Research Support Center Naval Medical UniversityShanghai 200433China

Objective:This study investigated trends in the study of phytochemical treatment of post-traumatic stress disorder(PTSD).Methods:The Web of Science database(2007-2022)was searched using the search terms“phytochemicals”and“PTSD,”and relevant literature was compiled.Network clustering co-occurrence analysis and qualitative narrative review were conducted.Results:Three hundred and one articles were included in the analysis of published research,which has surged since 2015 with nearly half of all relevant articles coming from North America.The category is dominated by neuroscience and neurology,with two journals,Addictive Behaviors and Drug and Alcohol Dependence,publishing the greatest number of papers on these topics.Most studies focused on psychedelic intervention for PTSD.Three timelines show an“ebb and flow”phenomenon between“substance use/marijuana abuse”and“psychedelic medicine/medicinal cannabis.”Other phytochemicals account for a small proportion of the research and focus on topics like neurosteroid turnover,serotonin levels,and brain-derived neurotrophic factor expression.Conclusion:Research on phytochemicals and PTSD is unevenly distributed across countries/regions,disciplines,and journals.Since 2015,the research paradigm shifted to constitute the mainstream of psychedelic research thus far,leading to the exploration of botanical active ingredients and molecular mechanisms.Other studies focus on anti-oxidative stress and anti-inflammation.

关键词： Phytochemical Post-traumatic stress disorder text analysis Clustering co-occurrence network Psychedelic

Tracking Dengue on Twitter Using Hybrid Filtration-Polarity and Apache Flume

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Computer Systems Science & Engineering 2022年第3期40卷 913-926页

作者： Norjihan Binti Abdul Ghani Suraya Hamid Muneer Ahmad Younes Saadi N.Z.Jhanjhi Mohammed A.Alzain Mehedi Masud Department of Information Systems Faculty of Computer Science&Information TechnologyUniversiti Malaya50603Kuala LumpurMalaysia School of Computer Science and Engineering SCE Taylor’s UniversitySubang Jaya47500Malaysia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The world health organization(WHO)terms dengue as a serious illness that impacts almost half of the world’s population and carries no specific treatment.Early and accurate detection of spread in affected regions can save precious lives.Despite the severity of the disease,a few noticeable works can be found that involve sentiment analysis to mine accurate intuitions from the social media text streams.However,the massive data explosion in recent years has led to difficulties in terms of storing and processing large amounts of data,as reliable mechanisms to gather the data and suitable techniques to extract meaningful insights from the data are required.This research study proposes a sentiment analysis polarity approach for collecting data and extracting relevant information about dengue via Apache Hadoop.The method consists of two main parts:the first part collects data from social media using Apache Flume,while the second part focuses on querying and extracting relevant information via the hybrid filtration-polarity algorithm using Apache Hive.To overcome the noisy and unstructured nature of the data,the process of extracting information is characterized by pre and post-filtration phases.As a result,only with the integration of Flume and Hive with filtration and polarity analysis,can a reliable sentiment analysis technique be offered to collect and process large-scale data from the social network.We introduce how the Apache Hadoop ecosystem–Flume and Hive–can provide a sentiment analysis capability by storing and processing large amounts of data.An important finding of this paper is that developing efficient sentiment analysis applications for detecting diseases can be more reliable through the use of the Hadoop ecosystem components than through the use of normal machines.

关键词： Big data analysis data filtration text analysis sentiment analysis social media event detection

Using a Workflow Management Platform in textual Data Management

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Data Intelligence 2022年第2期4卷 398-408页

作者： Triet Ho Anh Doan Sven Bingert Ramin Yahyapour Gesellschaft fur wissenschafliche Datenverarbeitung mbH Gottingen 37077 GottingenGermany

The paper gives a brief introduction about the workflow management platform,Flowable,and how it is used for textual-data management.It is relatively new with its first release on 13 October,2016.Despite the short time on the market,it seems to be quickly well-noticed with 4.6 thousand stars on GitHub at the moment.The focus of our project is to build a platform for text analysis on a large scale by including many different text resources.Currently,we have successfully connected to four different text resources and obtained more than one million works.Some resources are dynamic,which means that they might add more data or modify their current data.Therefore,it is necessary to keep data,both the metadata and the raw data,from our side up to date with the resources.In addition,to comply with FAIR principles,each work is assigned a persistent identifier(PID)and indexed for searching purposes.In the last step,we perform some standard analyses on the data to enhance our search engine and to generate a knowledge graph.End-users can utilize our platform to search on our data or get access to the knowledge graph.Furthermore,they can submit their code for their analyses to the system.The code will be executed on a High-Performance Cluster(HPC)and users can receive the results later on.In this case,Flowable can take advantage of PIDs for digital objects identification and management to facilitate the communication with the HPC system.As one may already notice,the whole process can be expressed as a workflow.A workflow,including error handling and notification,has been created and deployed.Workflow execution can be triggered manually or after predefined time intervals.According to our evaluation,the Flowable platform proves to be powerful and flexible.Further usage of the platform is already planned or implemented for many of our projects.

关键词： Flowable workflow text analysis knowledge graph persistent identifier

Smart-Fragile Authentication Scheme for Robust Detecting of Tampering Attacks on English text

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Computers, Materials & Continua 2022年第5期71卷 2497-2513页

作者： Mohammad Alamgeer Fahd N.Al-Wesabi Huda G.Iskandar Imran Khan Nadhem Nemri Mohammad Medani Mohammed Abdullah Al-Hagery Ali Mohammed Al-Sharafi Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

Content authentication,integrity verification,and tampering detection of digital content exchanged via the internet have been used to address a major concern in information and communication technology.In this paper,a text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing and Digital Watermarking(SFASCDW)is proposed for content authentication and tampering detection of English text.A first-level order of alphanumeric mechanism,based on hidden Markov model,is integrated with digital zero-watermarking techniques to improve the watermark robustness of the proposed approach.The researcher uses the first-level order and alphanumeric mechanism of Markov model as a soft computing technique to analyze English text.Moreover,he extracts the features of the interrelationship among the contexts of the text,utilizes the extracted features as watermark information,and validates it later with the studied English text to detect any tampering.SFASCDW has been implemented using PHP with VS code IDE.The robustness,effectiveness,and applicability of SFASCDW are proved with experiments involving four datasets of various lengths in random locations using the three common attacks,namely insertion,reorder,and deletion.The SFASCDW was found to be effective and could be applicable in detecting any possible tampering.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication