Trend Analysis by Using Text Mining of Journal Articles Regarding Consumer Policy

Kim, Minjeong; Ohk, Kyungyoung; Chung-Sook, Moon

doi:10.3938/npsm.67.555

Cited by 9 publications

(4 citation statements)

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“…Therefore, NLP, whether rule-based or machine learning-based techniques, provide an opportunity in the clinical domain to reduce the costly manual training data annotation processes. 8,9 The highly unstructured radiology reports have limited opportunities for data mining due to the requirement of structured data for most data mining methods. Henceforth, we propose a rule-based algorithm that aimed to reduce the workloads of the clinicians in the keypoint highlighting process and provides an opportunity for further analysis with minimal human interference.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, NLP, whether rule-based or machine learning-based techniques, provide an opportunity in the clinical domain to reduce the costly manual training data annotation processes. 8,9…”

Section: Discussionmentioning

confidence: 99%

“…Text mining is an artificial intelligence (AI) technique based on NLP to structure the input text, extracting meaningful, non-trivial patterns or knowledge from unstructured texts. 8,9 There are two main approaches used in NLP: rule-based and machine learning-based techniques. 10 Previously, researchers have utilized the NLP techniques to extract specific information from the EMRs.…”

Section: Introductionmentioning

confidence: 99%

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Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre

Tan,

Ng,

Ganggayah

et al. 2023

Health Informatics J

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Radiology reporting is narrative, and its content depends on the clinician’s ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personnel. Nevertheless, free-text reports make it inconvenient to extract information for clinical audits and data mining. Therefore, we aim to convert unstructured breast radiology reports into structured formats using natural language processing (NLP) algorithm. This study used 327 de-identified breast radiology reports from the anonymous institute. The radiologist identified the significant data elements to be extracted. Our NLP algorithm achieved 97% and 94.9% accuracy in training and testing data, respectively. Henceforth, the structured information was used to build the predictive model for predicting the value of the BIRADS category. The model based on random forest generated the highest accuracy of 92%. Our study not only fulfilled the demands of clinicians by enhancing communication between medical personnel, but it also demonstrated the usefulness of mineable structured data in yielding significant insights.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Therefore, NLP, whether rule-based or machine learning-based techniques, provide an opportunity in the clinical domain to reduce the costly manual training data annotation processes. 8,9…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre

Tan,

Ng,

Ganggayah

et al. 2023

Health Informatics J

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“…TF is a value that indicates that certain words are often found in the document-the greater the value, the more important a word in the document is considered to be. Document Frequency (DF) refers to the frequency of use in document collections [62], and the reciprocal number of this value is called the Inverse Document Frequency (IDF), which gives a weight for each word [63]. The IDF is a value that shows how frequently a particular word appears in a document collection.…”

Section: Term Frequency-inverse Document Frequencymentioning

confidence: 99%

Visitor Perceptions and Effectiveness of Place Branding Strategies in Thematic Parks in Bandung City Using Text Mining Based on Google Maps User Reviews

2019

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The city of Bandung, Indonesia contains thematic parks which use certain themes to highlight the features of the park. They are also used as a branding strategy for the city as a whole. As social networking has become a type of media used by most global populations to share experiences and stories and to influence perceptions, and because online reviews are one way to get potential positive information about the success of a business or service, we analyzed online reviews from the Bandung thematic parks. We identified that thematic parks have an influence on the branding of the city of Bandung. Data collection involved data extraction from Google Maps user reviews. Text mining was used to collect the information attributes needed to determine the public perceptions of thematic parks. Data analysis was used to determine the extent to which a park can be a benchmark for place branding in Bandung. This research found that the influence of the thematic park concept is a good strategy for the city of Bandung. Online reviews show that thematic parks in Bandung are better known than non-thematic parks, and that thematic parks get very good ratings and good opinions from online reviewers. This information is expected to be a reference for developing the concept of thematic parks, especially in the city of Bandung, and it can be used by the government, architects, and urban designers to get a better understanding of the users’ perceptions and as a benchmark for similar projects.

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Exploring housing quality perception and attitude groups through annoyance on vertical public-housing: online user review: case study—apartment in Bandung City, Indonesia

Widya

Kusuma

Lubis

2023

J Hous and the Built Environ

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Trend Analysis by Using Text Mining of Journal Articles Regarding Consumer Policy

Cited by 9 publications

References 0 publications

Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre

Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre

Visitor Perceptions and Effectiveness of Place Branding Strategies in Thematic Parks in Bandung City Using Text Mining Based on Google Maps User Reviews

Exploring housing quality perception and attitude groups through annoyance on vertical public-housing: online user review: case study—apartment in Bandung City, Indonesia

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