In text mining: detection of topic and sub-topic using multiple spider hunting model

摘要

In this electronic era, everyone is in fast communication and sharing of data through social Medias. Within a fraction of second we received millions of text in whatsapp, facebook, twitter, mails and etc. It is really hard to categorize relevant data and information from massive volume of text documents. Instead of reading all documents fully, there is a need to determine Topic and subtopic of a corpus. Existing technique takes more time to detect topic and subtopic of a corpus, so we proposed dynamic multiple spider hunting algorithm. Due to the usage of multiple spiders, this technique could effectively recognize the desired artifacts with minimum amount of time and have superior performance compared to other techniques.