Implementation of Web Scraping to Build a Web-Based Instagram Account Data Downloader Application

Himawan, Arif; Priadana, Adri; Murdiyanto, Aris Wahyu

doi:10.14421/ijid.2020.09201

Cited by 9 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Precision, recall, and F1-score was also used to measure the detail performance of the proposed CNN architecture based on the distribution of the dataset. The precision was calculated by using an equation described in (5), the recall is calculated by using an equation described in (6), and the F1-score is calculated by using an equation described in (7). TP indicates true positive, FP indicates false positive, and FN indicates false negative.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Deep Learning Approach Based on Convolution Neural Network (CNN) for Classification of Web Page Title and Description Text

Murdiyanto

Habibi

2022

Compiler

View full text Add to dashboard Cite

The volume of digital documents available online is growing exponentially due to the increasing use of the internet. Categorization of information obtained online is needed to make it easier for recipients of information to determine and filter which information is needed. Classification of web pages can be based on titles and descriptions, which are text data that can be done by utilizing deep learning technology for text classification. This study aimed to conduct data training and analysis experiments to determine the accuracy of the proposed deep learning architecture in classifying web page titles and descriptions. In this research, we proposed a Convolution Neural Network (CNN) architecture that generates few parameters. The training and evaluation set was conducted on the web page dataset provided by DMOZ. As a result, the proposed CNN architecture with the number of N (Dropout + 1D Convolution + ReLU activation) equal to 1 achieves the best validation accuracy. It achieves 79.51% with only generates 825,061 parameters. The proposed CNN architecture achieved outperformed performance on the accuracy of the five other technologies in the state-of-the-art.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of Deep Learning Approach Based on Convolution Neural Network (CNN) for Classification of Web Page Title and Description Text

Murdiyanto

Habibi

2022

Compiler

View full text Add to dashboard Cite

show abstract

“…Web scraping is a technique used to extract data from websites or social media platforms, such as a specific hashtag on Instagram. The data extraction was conducted over a predetermined period, and data were collected until a noticeable trend emerged (Crystal Pereira & Vanitha, 2015;Himawan et al, 2020;. The chosen research period spanned from 1 December 2021, 00:00 Western Indonesian Time, to 10 December 2021, 24:00 Western Indonesian Time, totalling ten days.…”

Section: Methodsmentioning

confidence: 99%

Exploring participatory culture among persons with disability: a case study on #stopaudism

Nurfikria

2023

Indonesian Journal of Communications Studies

View full text Add to dashboard Cite

This study examines the participatory culture of persons with disabilities in Indonesia by analysing their engagement in hashtag activism on Instagram. The selected hashtag, #stopaudism, gained prominence in response to an incident involving the Minister of Social Affairs, Tri Rismaharini, who compelled Deaf persons to speak during an event commemorating the National Day of Disabilities on 1 December 2021. This research employs a mixed-method approach, combining web scraping techniques with thematic analysis, and draws upon Henry Jenkins's participatory culture theory to analyse Instagram posts featuring the #stopaudism hashtag by persons with disabilities. The web scraping techniques successfully tracked trends in the #stopaudism hashtag, revealing a notable surge on December 2nd and 3rd, 2021, and highlighted posts with the highest likes and comments. Thematic analysis unveiled six strategies employed by persons with disabilities on Instagram to participate actively in hashtag activism: education, self-disclosure, declaration of hashtag activism, expression of anger or disappointment, presentation of evidence/media coverage, and invitations to sign petitions.

show abstract

“…Data Scraping. Data scraping is a process of extracting data from other sources, such as websites [19]. The source of the journal data was carried out from the dimensions index, which is located at https://www.dimensions.ai/.…”

Section: Data Collectingmentioning

confidence: 99%

The Intersection of Machine Learning, Zakat, and Transportation for a Healthy Society

Asyhari,

Susanti,

Juwari

et al. 2024

Advances in Engineering Research

View full text Add to dashboard Cite

The recent Covid-19 pandemic has shown that transportation has a significant role in creating a healthy society. Human mobility can be tracked and traced to map the spread of infectious diseases using screening, tracing, and tracking methods through policies and applications. This momentum has accelerated the massive application of technology, one of which is using Machine Learning. Zakat also has an essential role during the pandemic quarantine policy. The potential of the combination of Machine Learning, Zakat, and transportation should now be increased to improve the Quality of Life to achieve a healthy society. The intersection of these three topics was researched using data scraping from the web dimension as one of the platforms that accommodates a collection of research publications. Data is limited to abstracts of research results within the last five years. Next, the data obtained was preprocessed, text-processed, and analyzed using the FP-Growth Algorithm for Association Rule. Research published so far shows that there is an intersection between Machine Learning, Zakat, and Transportation to achieve a healthy society, even with varying intersection probability values. Machine learning and transportation have the most potent intersection with health, while zakat is still lower. The results of this research can open up collaborative research topics between these domains. The results of this research can also be used as suggestions for policy-making by stakeholders to explore the existing potentials of various journals that have been published.

show abstract

Implementation of Web Scraping to Build a Web-Based Instagram Account Data Downloader Application

Cited by 9 publications

References 16 publications

Analysis of Deep Learning Approach Based on Convolution Neural Network (CNN) for Classification of Web Page Title and Description Text

Analysis of Deep Learning Approach Based on Convolution Neural Network (CNN) for Classification of Web Page Title and Description Text

Exploring participatory culture among persons with disability: a case study on #stopaudism

The Intersection of Machine Learning, Zakat, and Transportation for a Healthy Society

Contact Info

Product

Resources

About