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This paper aims to focus on the problem of using several semantic analysis methods to implement a term suggestion system.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Three semantic analysis techniques are adopted \u2013 latent semantic indexing (LSI), probabilistic latent semantic indexing (PLSI), and a keyword relationship graph (KRG) \u2013 to implement a term suggestion system.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>This paper shows that using multiple semantic analysis techniques can give significant performance improvements.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>The suggested terms returned from the system may be out of date, since the system uses a batch processing mode to update the training parameter.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The paper shows that the benefit of the techniques is to overcome the problems of synonymy and polysemy over the information retrieval field, by using a vector space model. Moreover, an intelligent stopping strategy is proposed to save the required number of iterations for probabilistic latent semantic indexing.<\/jats:p><\/jats:sec>","DOI":"10.1108\/14684521111113560","type":"journal-article","created":{"date-parts":[[2011,2,19]],"date-time":"2011-02-19T07:05:55Z","timestamp":1298099155000},"page":"9-33","source":"Crossref","is-referenced-by-count":5,"title":["Term suggestion with similarity measure based on semantic analysis techniques in query logs"],"prefix":"10.1108","volume":"35","author":[{"given":"Lin\u2010Chih","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022020719485456000_b1","doi-asserted-by":"crossref","unstructured":"Abhishek, V. and Hosanagar, K. 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