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This paper proposes a method for retrieving relevant information from social network messages using a distributional semantics-based framework powered by topic modeling. The proposed framework combines the Latent Dirichlet Allocation and distributional representation of phrases (Phrase2Vec) for effective information retrieval from online social networks. Extensive and systematic experiments on messages collected from Twitter (tweets) show this approach outperforms some state-of-the-art approaches in terms of precision and accuracy and better information retrieval is possible using the proposed method.<\/jats:p>","DOI":"10.3233\/idt-200001","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T12:40:14Z","timestamp":1621946414000},"page":"189-199","source":"Crossref","is-referenced-by-count":6,"title":["A distributional semantics-based information retrieval framework for online social networks"],"prefix":"10.1177","volume":"15","author":[{"given":"V.S.","family":"Anoop","sequence":"first","affiliation":[{"name":"Data Engineering Lab, Indian Institute of Information Technology and Management\u00a0\u2013 Kerala, Thiruvananthapuram, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Deepak","sequence":"additional","affiliation":[{"name":"School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University Belfast, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Asharaf","sequence":"additional","affiliation":[{"name":"Kerala University of Digital Sciences, Innovation and Technology, Thiruvananthapuram, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/IDT-200001_ref1","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1007\/s00500-019-03998-1","article-title":"Integrating social annotations into topic models for personalized document retrieval","volume":"24","author":"Xu","year":"2020","journal-title":"Soft Computing"},{"key":"10.3233\/IDT-200001_ref2","first-page":"1","article-title":"Mining social networks to detect traffic incidents","volume":"24","author":"Vallejos","year":"2020","journal-title":"Information Systems Frontiers"},{"issue":"1","key":"10.3233\/IDT-200001_ref3","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1162\/dint_a_00006","article-title":"Aminer: Search and mining of academic social networks","volume":"1","author":"Wan","year":"2019","journal-title":"Data Intelligence"},{"key":"10.3233\/IDT-200001_ref4","unstructured":"Richter MJ, Kelly MW, Haugen A, Flores EN. 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