{ "article_id": 686, "public_id": "9c711808-7d37-4660-a612-1cc86192753b", "internal_identifier": null, "source_identifier": "39:51", "status": "published", "type": "research_article", "title": "Türkiye'de Twitter Verilerinden Faydalanarak Ahşap Malzeme Üzerine Eğilimlerin Belirlenmesi", "title_secondary": null, "abstract": "Dünyadaki veri miktarı büyük bir hızla artmaktadır. Günümüzde veriler bilim insanları tarafından en değerli hammadde\r\nolarak düşünülmektedir. Veri madenciliği çalışmaları gelişmiş ülkeler için kritik bir konudur. Bu nedenle her alanda veri\r\nçalışmalarına büyük yatırımlar yapılmaktadır. Twitter ülkemizde oldukça popular ve büyük miktarda verinin saklandığı bir\r\nsosyal medya ağıdır. Bu ağ kullanıcılarının belli başlıkları ne sıklıkta bahsettikleri farklı konulara olan ilgisini göstermektedir.\r\nTwitter verilerinin analizi ile toplumların fikir değişimleri belirlenebilmektedir. Aynı zamanda firmalar sosyal medyaya\r\nmarkalaşmak için giderek ilgi göstermektedir. Veriler tüketicilerin beklentilerini ve şikayetlerini anlamak için değerli bir\r\nkaynaktır. Anketler ile veri toplamak ve gerçek düşüncelere ulaşmak genellikle zordur. Bu durumda sosyal medya ağlarındaki\r\nkullanıcı verileri iyi bir alternatiftir. Bu çalışmada içinde ahşap kelimesi geçen tweetlerin coğrafi bölgelere göre dağılımı\r\nbelirlenmiştir. Bu amaç doğrultusunda düzenli olarak tweetlerin paylaşıldığı koordinat verileri toplanmıştır. Çalışmada dünyada\r\nyaygın olarak kullanılan Rapidminer yazılımından faydalanılmıştır. Rapidminer güçlü bir veri madenciliği ve analiz\r\nplatformudur. Çalışma sonucunda, twitter kullanıcılarının hangi coğrafik bölgelerde daha yoğun ahşap malzemeye ilgi\r\nduyulduğu belirlenmiştir.  ", "language": "tr", "english_title": "Determination of Trends in Wooden Materials by Using Twitter Data in Turkey", "english_abstract": "The amount of data in the world is increasing rapidly. Today, data are considered as the most valuable raw material by scientists. Data mining is a critical issue for developed countries. Therefore, large investments are made in data studies in every field. Twitter is a social media network that is very popular in our country and where large amounts of data are stored. This shows how often network users are interested in different topics they talk about. With the analysis of twitter data, opinions of communities can be determined. At the same time, companies are increasingly interested in social media for branding. The data is a valuable resource for understanding consumers' expectations and complaints. It is often difficult to collect data with surveys and to reach real ideas. In this case, user data on social media networks is a good alternative. In this study, the distribution of the tweets mentioned in wood by geographical regions was determined. For this purpose, coordinates where tweets are shared were collected on a regular basis. The study benefited from the widely used Rapidminer software in the world. Rapidminer is a powerful data mining and analysis platform. As a result of the study, it was determined that twitter users were more interested in the more dense wood materials in geographic regions.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/9c711808-7d37-4660-a612-1cc86192753b", "pdf_url": "https://www.set-science.com/a/9c711808-7d37-4660-a612-1cc86192753b/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "0236d11b-c732-4ecf-bbdb-f7839fceb11c", "given": "Timuçin", "family": "Bardak", "full": "Timuçin Bardak", "literal": null, "orcid": null, "orcid_url": null, "email": "sbardak@bartin.edu.tr", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Bartın University", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "33f4d08b-8e65-45b8-9bcd-7efd06e0a9a7", "given": "Selahattin", "family": "Bardak", "full": "Selahattin Bardak", "literal": null, "orcid": null, "orcid_url": null, "email": "sbardak@sinop.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Sinop University", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "Determination of Trends in Wooden Materials by Using Twitter Data in Turkey", "abstract": "The amount of data in the world is increasing rapidly. Today, data are considered as the most valuable raw material by scientists. Data mining is a critical issue for developed countries. Therefore, large investments are made in data studies in every field. Twitter is a social media network that is very popular in our country and where large amounts of data are stored. This shows how often network users are interested in different topics they talk about. With the analysis of twitter data, opinions of communities can be determined. At the same time, companies are increasingly interested in social media for branding. The data is a valuable resource for understanding consumers' expectations and complaints. It is often difficult to collect data with surveys and to reach real ideas. In this case, user data on social media networks is a good alternative. In this study, the distribution of the tweets mentioned in wood by geographical regions was determined. For this purpose, coordinates where tweets are shared were collected on a regular basis. The study benefited from the widely used Rapidminer software in the world. Rapidminer is a powerful data mining and analysis platform. As a result of the study, it was determined that twitter users were more interested in the more dense wood materials in geographic regions.", "keywords": [ "Twitter, ahşap malzeme, trend, sosyal medya, coğrafi bölge" ] } ], "subjects": [], "subject_names": [], "published_date": "2018-12-31", "published_year": "2018", "received_date": null, "accepted_date": null, "volume": "3", "issue": null, "page_first": "273", "page_last": "276", "article_number": null, "conference": { "short_name": "ISAS2018-Winter", "full_title": "2nd International Symposium on Innovative Approaches in Scientific Studies", "name": "2nd International Symposium on Innovative Approaches in Scientific Studies", "acronym": "ISAS2018-Winter", "location": "Samsun, Türkiye", "start_date": "2018-11-30", "end_date": null, "public_id": "b8a703cc-09f7-4d5b-ae60-eb31a1050720" }, "proceedings": { "title": "2nd International Symposium on Innovative Approaches in Scientific Studies", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-3-2018-legacy-39", "public_id": "641f522e-9cf0-4c89-be17-c6037f3d1bca", "url": "https://www.set-science.com/p/setsci-volume-3-2018-legacy-39" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2018" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "I. 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Paulheim, “Mining the web of linked data with rapidminer,” Web Semantics: Science, Services and Agents on the World Wide Web, vol. 35, pp. 142-151, 2015.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 8, "raw": "(2018) [Online]. Avaliable: htpp: rapidminer.com/products/studio/", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 9, "raw": "Y. Kuştepeli ve U. Halaç, “Türkiye’de genel gelir dağılımının analizi ve iyileştirilmesi,” DEÜ SBE Dergisi, Cilt 6, s. 143-160, 2004.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null } ], "statements": { "acknowledgements": null, "conflict_of_interest": null, "data_availability": null, "ai_disclosure": null }, "credit": [], "history": { "published": "2018-12-31" } }