International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 123

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015


Semantic Based Topic Generation from Search Term Reports

Manjima Raj | Chithra Rani P. R.


Abstract: Internet has strengthened the ability to search the content people produce on the internet and find those pages that are relevant to a given query. Marketing agencies are created out of this and manages thousands of s in order to reach the right customer. Advertisers can use Search term reports to see the performance of their ads on search queries. Given large portfolio, Identifying new search terms with high potential from search term reports can become a burden on even experienced advertisers. Advertisers have to determine the purchase intents of users. Once the target intents are determined, advertisers can target those users with relevant s. In order to scale the management, Semantic topic generator is proposed where we learn the hidden topics in available in search term reports.


Keywords: Latent Semantic Indexing, Search Engine Marketing, Latent Dirichlet Allocation, Search term reports


Edition: Volume 4 Issue 12, December 2015,


Pages: 174 - 177


How to Cite this Article?

Manjima Raj, Chithra Rani P. R., "Semantic Based Topic Generation from Search Term Reports", International Journal of Science and Research (IJSR), Volume 4 Issue 12, December 2015, pp. 174-177, https://www.ijsr.net/get_abstract.php?paper_id=NOV151880

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