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dc.contributor.author Ali, Liaqat
dc.contributor.author Shaikh, Shaharyar
dc.contributor.author Bhatti, Umar Daraz
dc.contributor.author supervised by Dr. Seemab Latif
dc.date.accessioned 2020-11-12T08:14:32Z
dc.date.available 2020-11-12T08:14:32Z
dc.date.issued 2016-05
dc.identifier.other PCS-290
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/11590
dc.description.abstract Day by day with the extensive increase of internet data, its difficult to go through every website to find manual solution of any query. Single Document Summarization (SDS) has been used for summarization of internet web pages so far. Summ-The-Search is an android application is using Multi Document Summary(MDS) for internet search results to summarize multiple web pages (English Language only), given as a result of a query search on Google. First five web pages will be taken for summarizing. These web pages will be first cleaned and pre-processed and then important information will be extracted using feature extraction technique. This will then be used for multi document summarization. Summary length will be decided by the user of the application in terms of percentage. Query string to meaningful summary(sentences) generation: Don’t have to go through each and every page of suggested link , so no longer feel the dilemma of extracting information from multi dynamic pages. The main fields is being used AI, Data Mining, Behavior analysis and different types of summary algorithms to produce meaningful results are being used. It can be widely use by students as well as by office people. As it will be saving a lot of time so general public will also be benefited. In short any Google user can get help from this app an very easy way of gathering data from different websites. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Summ-The-Search en_US
dc.type Technical Report en_US


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