The role of social media on the improvement of business processes (in the digital strategy)
| dc.contributor.author | MESSAGIER, Abderraouf | |
| dc.date.accessioned | 2021-12-05T09:41:27Z | |
| dc.date.available | 2021-12-05T09:41:27Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The theme addressed by this thesis is the extraction of web data by the web scraping method, the goal that need to be achieved through this thesis is to respond to a very specific problem which is to extract existing digital data by proposing a web scraping system which is an application named hashtag search application. In many cases, business owners who are about to start a project in any field are unable to collect the data they need for the success of their own project, especially in the field of selling and manufacturing clothing cause the project owner needs to be aware of what is trendy in the markets, as this helps him to compete with successful companies, so he needs a tool to help him obtain important information to ensure sales and stay in the market. Among the most common and widely used technology in our time social media sites help the individuals and the companies to communicate and stay in touch. One of the advantages of social media sites is that they contain a huge amount of information and data, but how does the business owner filter all this information to obtain the data that interests him only. Hashtag search application is an application that helps to extract data from the social media site Instagram using the algorithm of the web scraping, this application works as a search engine connected to Instagram, the application extracts data from the site and uses the hashtag to determine the content to be searched. The application contains two features. The application brings to the user the trendy posts and the latest posts in Instagram, and with the information brought with the hashtag search application the user will become familiar with the demands of people and the trendy products that are in the market which are best-selling, so by analyzing this data, the project owner can make his project a success. Key words: Data extraction, web scraping, business owners, trendy posts, the latest posts, algorithm of the web scraping, search engine. | en_US |
| dc.identifier.issn | MM/631 | |
| dc.identifier.uri | http://10.10.1.6:4000/handle/123456789/1410 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Bordj Bou Arréridj/Faculty of Mathematics & Computer Science | en_US |
| dc.subject | Key words: Data extraction, web scraping, business owners, trendy posts, the latest posts, algorithm of the web scraping, search engine. | en_US |
| dc.title | The role of social media on the improvement of business processes (in the digital strategy) | en_US |
| dc.type | Thesis | en_US |
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- We are living in an era where the web is growing at an insane speed and of course, all of the technologies that surround it are advancing at the same rate, as we have seen in the devolvement of Information research systems. As I have mentioned in my thesis on the role of data in all the domains specially in the clothing industry, data is considered as a source of power in today’s world. Companies have now understood that the internet can be a great means of expansion, it has also been my main occupation of my project on to think about how to extract and process specific data using several techniques. In order to dominate in the market specifically in garments industry, you have to be aware of what people want and what’s trendy cause people tend to follow trends so they don’t experience the fear of missing out, that’s why you need to gather data from the web to be exact from the social media due to the “fashion people” located there (Instagram). Web scraping, crawling is only at the start of certain growth. It is enough to observe the number of projects, articles and conferences on the subject to understand that a phenomenon emerges. The Web is certainly not being used to its fullest today. However, finding the data that only concern you can help you gain both time and storage. The future tools developed will have to deal with an incalculable amount of data. We can already think that the provision of information through APIs provided will be an efficient way to manage this mass of data. Finally, scraping is certainly to be done on the regulatory manner to clarify the situation and make it possible to defend against illegal attacks. In the first chapter, I defined the terms (social media, marketing, clothing industry) and explained how social media process flow, I also enumerated both the problematic and the objective of my thesis then I approached how social media contribute in the marketing of a business, finally I established how extracting and collecting data (web scraping) can have a huge impact in garments industry. In the second chapter, I briefly defined Information research system with its different research strategies then I summed up its architecture with a schema, next I dealt with the proposed model of my thesis which is web scraping from its definition to how it works then to sums it up with its architecture, in addition I have cited the different objectives of the web scrapping in my thesis theme. In the third chapter, I first dealt with conceptual method I have chosen which is UML touching several aspects of this method, after the In-depth explanation of the UML I showed the importance and advantages of this method in the conception of my application that extract posts from Instagram according to a hashtag that have relation with the clothing 42 | P a g e industry to facilitate the understanding of the market and offer the best choices to the business owner. I presented in the second part of this chapter my post extraction system with a conceptual study which is the starting point of my post extraction application called “The Hashtag Search” application. Finally in the fourth and last chapter, I presented my scraping application as well as the development and implementation environment, in focusing on the programming techniques and tools used to create a system that aims to extract posts from Instagram in both types, posts that have many likes (popular posts) and posts that are up to date (recent posts). Finally, I ended this chapter by demonstrating my work supported by some interfaces that show how the application function.
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