By the word web spam, we mean the techniques through which manipulations can be done to the web page ranking algorithm of the web search engines and by doing so compelling the engines to show certain search results in the result page having higher rank than what they deserve. There are various sort of spam pages – They might appear as if providing the assistance about some product or some particular subject of interest but most often such information is deliberately created to only manipulate the search engine algorithm and thus lacks any authentic and reliable information that it is purported to furnish. Recently, the number of such web pages and web sites has increased much in volume causing a degradation of the quality of the search results that are thrown by the popular search engines. Though the search engines nowadays use some sort of measure to provide resistance to such manipulations in form of spam resilience, but they are not at par with the extent of “spamming” that are taking place. Pagerank is considered as one of such measures, which while counting the number of hyperlinks referring to a concerned web page, also reckons the Pageranks of those pages in turn. The primary problem with such a measure is that it is easily manipulable which is happening nowadays [12]. TrustRank is the concept which overcomes the drawbacks and vulnerabilities of Pagerank and thus stands out as a superior measure when it comes to combating web spam. The TrustRank concept involves a human operator who is supposed to assign the TrustRank while judging a page and deciding if it is spam or not. The cases where a human mediator is unable to assign any value as TrustRank, human sentiment involved is considered while obtaining the TrustRank of the page. This work is based on the human sentiment involved in the judgement of seed set and thus a model is also proposed that reduces the human mediations and involvement of human sentiment while employing the concept of Fuzzy Logic in seed selection process.