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In this approach, hidden social networks are extracted through the analysis of user's comments via opinion and text mining technologies. The authors assume that all comments are written in one language. Unlike previous methods, to detect social relationships between actors, content analysis technology, namely opinion mining technology was used in the proposed approach.<\/p>","DOI":"10.4018\/ijisss.2019070103","type":"journal-article","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T17:16:56Z","timestamp":1559063816000},"page":"37-55","source":"Crossref","is-referenced-by-count":4,"title":["A Method for Social Network Extraction From E-Government"],"prefix":"10.4018","volume":"11","author":[{"given":"Rasim M.","family":"Alguliyev","sequence":"first","affiliation":[{"name":"Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramiz M.","family":"Aliguliyev","sequence":"additional","affiliation":[{"name":"Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gunay Y.","family":"Niftaliyeva (Iskandarli)","sequence":"additional","affiliation":[{"name":"Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJISSS.2019070103-0","unstructured":"Akba\u015f, E. 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