scholarly journals Extraction and Visualization of Tourist Attraction Semantics from Travel Blogs

2021 ◽  
Vol 10 (10) ◽  
pp. 710
Author(s):  
Erum Haris ◽  
Keng Hoon Gan
Keyword(s):  
Language Processing ◽  
Management Strategies ◽  
Semantic Knowledge ◽  
Equation Model ◽  
Weighted Sum ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Unstructured Text ◽  
Points Of Interest ◽  
Travel Decision

Travel blogs are a significant source for modeling human travelling behavior and characterizing tourist destinations owing to the presence of rich geospatial and thematic content. However, the bulk of unstructured text requires extensive processing for an efficient transformation of data to knowledge. Existing works have studied tourist places, but results lack a coherent outline and visualization of the semantic knowledge associated with tourist attractions. Hence, this work proposes place semantics extraction based on a fusion of content analysis and natural language processing (NLP) techniques. A weighted-sum equation model is then employed to construct a points of interest graph (POI graph) that integrates extracted semantics with conventional frequency-based weighting of tourist spots and routes. The framework offers determination and visualization of massive blog text in a comprehensible manner to facilitate individuals in travel decision-making as well as tourism managers to devise effective destination planning and management strategies.

scholarly journals A Geospatial Approach to Enhance Point of the Interest and Tourism Potential Centers in Parner Tehsil in Maharashtra, India

2021 ◽  
pp. 186-196
Author(s):  
Vasudev S. Salunke ◽  
Santosh J. Lagad ◽  
Ravindra S. Bhagat ◽  
Nanabhau S. Kudnar
Keyword(s):  
Secondary Data ◽  
Cultural Tourism ◽  
Tourism Industry ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Point Of Interest ◽  
Points Of Interest ◽  
Natural Beauty ◽  
Tourism Potential ◽  
Geographical Point

This study aims to identify geographical points of interest and tourism potential in Parner tehsil of Ahmednagar District of Maharashtra and to highlight the attractive tourist destinations and religious places in the region. To the introduced exact situation and importance of many wonderful, useful distinctive places and geographical point of interest in Parner tehsil. This paper is descriptive in nature and qualitative study based on empirical observations. This study based on primary and secondary data. All natural geographical, historical and cultural tourist centers were visited during study period. Parner tehsil is enriched of geographical, historical, and cultural tourism aspects. Suitable maps were prepared with the help of QGIS and ARC MAP software’s for the ease of tourists. Tourist attractions in the tehsil as is, natural beauty, potholes, caves, temples, ideal village, industries, festivals etc. Even though Nighoj potholes and Vadgaon Darya caves are famous geographical destinations but other places are neglected by tourism industry experts. This paper will also become much helpful for planner, tourists, historians, geographers and archeologists to access remote but well known destinations.

A Selection of Bandung City Travel Route Using The FLOYD-WARSHALL Algorithm

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Route Selection ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
A Value ◽  
Distance Data ◽  
Simple Additive Weighting ◽  
The City ◽  
Selection Of

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.

The Hidden Half: Linking microbial communities to habitat condition and vegetation management in UK blanket bogs

2021 ◽  
Author(s):  
William Burn ◽  
Andreas Heinemeyer ◽  
Thorunn Helgason ◽  
David Glaves ◽  
Michael Morecroft
Keyword(s):  
Water Quality ◽  
Ecosystem Services ◽  
Microbial Communities ◽  
Structural Equation ◽  
Management Strategies ◽  
Vegetation Management ◽  
Equation Model ◽  
Habitat Condition ◽  
Blanket Bog ◽  
The Uk

<p>Peatlands are globally valued for the ecosystem services they deliver, including water quality regulation and carbon sequestration. In the UK, blanket bogs are the main peatland habitat and previous work has linked blanket bog management, especially rotational burning of heather vegetation on grousemoors, to impacts on these ecosystem services. However, we still lack a mechanistic, process-level understanding of how peatland management and habitat status is linked to ecosystem service provision, which is mostly driven by soil microbial processes.</p><p>Here we examine bacterial and fungal communities across a spectrum of “intact” to degraded UK blanket bogs and under different vegetation management strategies. Sites included grousemoors under burnt and alternative mown or uncut management along with further locations including 'near intact', degraded and restored sites across a UK climatic gradient ranging from Exmoor (South UK), the Peak District (Mid) to the Flow Country (North). Moreover, an experiment was setup at the University of York with peat mesocosms taken from all sites and management/habitat conditions to allow a comparison between field and controlled conditions and assessing root-mediated processes. Using a structural equation model, we linked grousemoor management to specific fungal/bacterial functional groups, and have started to relate this to changes in water quality provision and carbon cycle aspects. This represents a significant step in the effort to use microbial communities as indicators of peatland habitat condition in UK upland blanket bogs. </p><p> </p>

ANALISIS POLA DAYA TARIK WISATA BERDASARKAN POTENSI SUMBERDAYA (SUPPLY) SEBAGAI ASET DAN DAYA TARIK DI DAERAH ISTIMEWA YOGYAKARTA

2020 ◽  
Vol 14 (01) ◽  
pp. 13-22
Author(s):  
Sri Wahyuni
Keyword(s):  
Qualitative Research ◽  
Research Methods ◽  
Qualitative Research Methods ◽  
Data Sources ◽  
Sampling Techniques ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Special Region

The purpose of this research is to study and to analyze the pattern of tourist destinations to determine the excellence of attractions in each district in the Special Region of Yogyakarta, as a tourist attraction. This research uses qualitative research methods with sampling techniques using positive sampling. Data sources used are informants, tourist attractions, and documents. Determination of the advantages of a tourist attraction in a regency and even in the Special Region of Yogyakarta aims to increase the selling power or visitors of a tourist attraction and become an icon or mascot in the regency or region in Yogyakarta Special Region. From the results of the discussion, it was concluded that the most preeminent in the Yogyakarta Special Region was Tourism, Beach and Temple Villages. Keywords: Tourist Patterns, Tourist Attraction, Tourist Asset, Potential Resources

scholarly journals Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study (Preprint)

2020 ◽  
Author(s):  
Jessica P Ridgway ◽  
Arno Uvin ◽  
Jessica Schmitt ◽  
Tomasz Oliwa ◽  
Ellen Almirol ◽  
...  
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Natural Language Processing ◽  
Language Processing ◽  
Predictive Value ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Clinical Notes ◽  
Unstructured Text ◽  
Living With Hiv

BACKGROUND Mental illness and substance use are prevalent among people living with HIV and often lead to poor health outcomes. Electronic medical record (EMR) data are increasingly being utilized for HIV-related clinical research and care, but mental illness and substance use are often underdocumented in structured EMR fields. Natural language processing (NLP) of unstructured text of clinical notes in the EMR may more accurately identify mental illness and substance use among people living with HIV than structured EMR fields alone. OBJECTIVE The aim of this study was to utilize NLP of clinical notes to detect mental illness and substance use among people living with HIV and to determine how often these factors are documented in structured EMR fields. METHODS We collected both structured EMR data (diagnosis codes, social history, Problem List) as well as the unstructured text of clinical HIV care notes for adults living with HIV. We developed NLP algorithms to identify words and phrases associated with mental illness and substance use in the clinical notes. The algorithms were validated based on chart review. We compared numbers of patients with documentation of mental illness or substance use identified by structured EMR fields with those identified by the NLP algorithms. RESULTS The NLP algorithm for detecting mental illness had a positive predictive value (PPV) of 98% and a negative predictive value (NPV) of 98%. The NLP algorithm for detecting substance use had a PPV of 92% and an NPV of 98%. The NLP algorithm for mental illness identified 54.0% (420/778) of patients as having documentation of mental illness in the text of clinical notes. Among the patients with mental illness detected by NLP, 58.6% (246/420) had documentation of mental illness in at least one structured EMR field. Sixty-three patients had documentation of mental illness in structured EMR fields that was not detected by NLP of clinical notes. The NLP algorithm for substance use detected substance use in the text of clinical notes in 18.1% (141/778) of patients. Among patients with substance use detected by NLP, 73.8% (104/141) had documentation of substance use in at least one structured EMR field. Seventy-six patients had documentation of substance use in structured EMR fields that was not detected by NLP of clinical notes. CONCLUSIONS Among patients in an urban HIV care clinic, NLP of clinical notes identified high rates of mental illness and substance use that were often not documented in structured EMR fields. This finding has important implications for epidemiologic research and clinical care for people living with HIV.

scholarly journals STRATEGI KOMUNIKASI JAKARTAGOODGUIDE DALAM MENINGKATKAN AWARENESS PUBLIK TERHADAP DAYA TARIK WISATA KOTA TUA, JAKARTA

2019 ◽  
Vol 1 (2) ◽  
pp. 129-140
Author(s):  
Renny Hidayat ◽  
Jaya Purnawijaya
Keyword(s):  
Public Awareness ◽  
Communication Strategy ◽  
Persuasive Communication ◽  
Tour Guide ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Walking Tour ◽  
Old City ◽  
Heritage Buildings ◽  
Historical Heritage

Indonesia is one of the tourist destinations to be visited by tourists because it has many attractive tourist attractions. One of the tourist destinations is Jakarta, which has historical heritage buildings in Kota Tua or the Old City. Tourists who visit these objects can learn about the history of Jakarta City. However, not all tourists, especially foreign tourists, understand the historical story of the Old City, so to explain to tourists, tour guide services are needed. In the Old City there is a Tour guide community, namely Jakarta GoodGuide which was established specifically to introduce the Kota Tua of Jakarta. This research aims to analyze the communication strategy used by JakartaGoodGuide to increase public awareness of the tourist attraction of Kota Tua, Jakarta. The research used qualitative method through interview and observation techniques. The results showed that the communication strategy was carried out by JakartaGoodGuide used persuasive communication, casual words, structured communication, and pictures during the walking tour.  Abstrak Indonesia merupakan salah satu negara yang memiliki banyak daerah tujuan wisata untuk dikunjungi wisatawan, karena memiliki banyak daya tarik wisata yang menarik. Salah satu daerah tujuan wisata tersebut adalah Jakarta yang memiliki daya tarik bangunan peninggalan sejarah di Kota Tua. Wisatawan yang mengunjungi objek tersebut dapat mempelajari sejarah Kota Jakarta. Namun tidak semua wisatawan, khususnya wisatawan mancanegara mengerti jalan cerita sejarah Kota Tua, maka untuk menjelaskan kepada wisatawan tersebut diperlukan jasa tourguide. Di Kota Tua terdapat komunitas tourguide, yaitu JakartaGoodGuide yang didirikan khusus untuk memperkenalkan Kota Tua Jakarta. Tujuan penelitian ini untuk menganalisis tentang strategi komunikasi yang digunakan oleh JakartaGoodGuide untuk meningkatkan awareness publik terhadap daya tarik wisata Kota Tua, Jakarta. Metode penelitian yang digunakan adalah kualitaif melalui teknik wawancara dan pengamatan. Hasil penelitian menunjukkan, strategi komunikasi yang dilakukan JakartaGoodGuide menggunakan komunikasi persuasif, menggunakan kata-kata ringan, komunikasi terstruktur, dan juga menggunakan alat bantu foto atau gambar pada saat walking tour berlangsung. 

scholarly journals Synergy of the Pentahelix Model to Establish Resilient Smes in Facing New Normal during Covid-19 Pandemic

2021 ◽  
Vol 4 (1) ◽  
pp. 754-761
Author(s):  
Herdiana Dyah Susanti ◽  
Dian Arief Pradana ◽  
Endang Suprihatin
Keyword(s):  
Data Sources ◽  
Primary Data ◽  
Research Approach ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Descriptive Research ◽  
Data Validity ◽  
The Government ◽  
Using Data ◽  
The Impact

Coronavirus new which caused the outbreak of pneumonia and caused the closure of tourist destinations and caused many SMEs products to be returned by the souvenir center and SMEs production stopped during the Covid-19 pandemic. Banyuwangi Regency has also experienced the closure of tourist destinations starting March 2020 and has an impact on SMEs in Banyuwangi Regency, one of which is Ratu Manis SMEs. After the closure of tourist attractions, 70% of Ratu Manis SMEs products that were entrusted to the souvenir center and tourist attractions were returned. The number of SMEs Ratu Manis production has also decreased. Many exhibition events at every festival held in Banyuwangi Regency have been canceled due to the Covid-19 pandemic. Ratu Manis SMEs is trying to rise from the impact caused by the Covid-19 pandemic through synergy from various parties with the help of the government, academics, media and the community using the pentahelix approach. The research approach used in this research is descriptive research. The data sources used in this study are secondary and primary data sources. The data were collected using data collection techniques, namely observation and interviews with the source triangulation strategy for data validity. With penta helix synergy of industry, government, academia, media and the community sweet queen SMEs can survive to face the pandemic covid-19 and may even improve the quality of the products and sales turnover also increased from 20 kg to 40 kg per day.

scholarly journals GIS and touristic itineraries. The case of São Cristóvão, Sergipe, Brazil

2019 ◽  
pp. 29-39
Author(s):  
Cristiane Alcântara De Jesus Santos ◽  
Antonio Carlos Campos ◽  
Larissa Prado Rodrigues
Keyword(s):  
Social Groups ◽  
Geographic Information ◽  
Basic Tool ◽  
Textual Information ◽  
Spatial Concepts ◽  
Tourist Attractions ◽  
Goods And Services ◽  
Tourist Destinations ◽  
Tourist Demand ◽  
Or Applications

The Information Systems (IS) and the Internet have transformed the relations between individuals and social groups. They associated new dimensions to the tourist practices. In this study, the possibilities of use of the GIS/WebGIS by planners and managers of tourist activity, and by the end users of tourist products: tourists were highlighted. This study aims to present a methodological proposal for implementation of Geographic Information System (GIS) for the development of tourist itineraries in accordance with the tourist demand. The tourists can obtain and use specific geographic information before and during their stay at the destination. To develop the itineraries, it was drawn up the inventory of local tourist attractions, as well as the goods and services classification in the surroundings of each attraction. Subsequently, photos and textual information were added to define linear circuits used as a reference for visitor’s tours. With the itineraries publication and their use anchored in explorers (Google Maps, Open Street Maps or Waze), one hopes the procedures and techniques of support based on GIS are executed by tourist destinations, in interactive websites format and/or applications format updated by local managers. And GIS can be consolidated as a basic tool for decision-making, providing a better control of spatial concepts, expanding and intensifying the tourist experiences.

scholarly journals Perspectives and reviews in the use of narrative strategies for communicating fake news in the tourism industry

2020 ◽  
Vol 14 (1) ◽  
pp. 728-734
Author(s):  
Emanuela Anton ◽  
Cosmin Alexandru Teodorescu ◽  
Vanesa Madalina Vargas
Keyword(s):  
Data Dissemination ◽  
Economic Benefits ◽  
Tourism Industry ◽  
Fake News ◽  
Narrative Strategies ◽  
Private Companies ◽  
Tourist Attractions ◽  
State Institutions ◽  
Tourist Destinations ◽  
Cruise Ships

AbstractIn this article we review research from the past decade that explores how elements of communication from social media and press articles influence the decision making for choosing a travel destination. ‘Fake news’ has the potential to impact opinions, expectations and behaviour of tourism consumers. Perceived as an important threat to modern democratic societies, the course of intentional false data dissemination is able to disrupt perception and throughout the normal functioning of state institutions and private companies. Hence, manipulation of information shapes differently the image of tourism destinations, accommodation units, cruise ships and even tourist attractions mostly in order to produce higher economic benefits. Unfortunately, sometimes ‘fake news’ spreading could be detrimental to tourist destinations and operators. In order to pursue, cope, absorb and adjust threats related to ‘fake news’, we will use and approach in a later work the aspects regarding a ‘societal resilience’

scholarly journals Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation (Preprint)

2019 ◽  
Author(s):  
Sijia Liu ◽  
Yanshan Wang ◽  
Andrew Wen ◽  
Liwei Wang ◽  
Na Hong ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Data Model ◽  
Structured Data ◽  
Common Data Model ◽  
Concept System ◽  
Unstructured Text ◽  
Electronic Health

BACKGROUND Widespread adoption of electronic health records has enabled the secondary use of electronic health record data for clinical research and health care delivery. Natural language processing techniques have shown promise in their capability to extract the information embedded in unstructured clinical data, and information retrieval techniques provide flexible and scalable solutions that can augment natural language processing systems for retrieving and ranking relevant records. OBJECTIVE In this paper, we present the implementation of a cohort retrieval system that can execute textual cohort selection queries on both structured data and unstructured text—Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records (CREATE). METHODS CREATE is a proof-of-concept system that leverages a combination of structured queries and information retrieval techniques on natural language processing results to improve cohort retrieval performance using the Observational Medical Outcomes Partnership Common Data Model to enhance model portability. The natural language processing component was used to extract common data model concepts from textual queries. We designed a hierarchical index to support the common data model concept search utilizing information retrieval techniques and frameworks. RESULTS Our case study on 5 cohort identification queries, evaluated using the precision at 5 information retrieval metric at both the patient-level and document-level, demonstrates that CREATE achieves a mean precision at 5 of 0.90, which outperforms systems using only structured data or only unstructured text with mean precision at 5 values of 0.54 and 0.74, respectively. CONCLUSIONS The implementation and evaluation of Mayo Clinic Biobank data demonstrated that CREATE outperforms cohort retrieval systems that only use one of either structured data or unstructured text in complex textual cohort queries.

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