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For example, if I wanted to build a mailing list that targeted the work at home job niche, I would consider registering a domain name that incorporated the keywords legit online jobs, such as egit Online Jobs. com where I would offer a free report focusing on how to find a legitimate work at home job. The domain and the content both speak directly to my target audience. Affiliate Assassin 34 In order to streamline your ability to build targeted lists, you also need a web hosting account, making it easy to capture your visitors information, and add them to your list by showcasing a squeeze or landing page. When it comes to choosing a hosting provider, you need to make sure that you go with a service that allows for flexibility and fast upgrades. You can start out with a smaller package, and as your marketing expands, you can upgrade your account to a larger package. With your hosting provider, make sure that they offer the ability to use sub domains, so that you can create multiple interior pages for every squeeze page you create. I recommend using ostGator. comAffiliate Assassin 35 Creating A High Converting Squeeze PageThis is where it all really begins; creating a high converting squeeze page that directly communicates with your target audience and motivates them into subscribing to your list. By providing solid information, and relevant content, you will quickly begin to establish credibility with your list members and a reputation as someone who is interested in providing high quality information and exceptional value. A squeeze page is NOT designed to sell.


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Information Today; 1998. Jokar A A, Anvari S. Evaluation of thematic approaches natural language and controlled in information retrieval from online bibliographic databases. LIS. 2006; 49: 152 164. Expanding and users query statement for free text searching with aids thesaurus. Information processing and management. 1993; 296: 733 744. Shaw WM.



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Ed. , PG. D. Ph. D. Research ScholarSURVIVAL THROUGH REDEMPTION OF SELF INTHE SELECT NOVELS OF ALICE WALKER . N. R. CHARRUMATHI, M. A. , M.



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However, we should keep in mind that language is overly more complex than simply a bag of words Wilson et al. , 2005. The interplay between words and whole sentences convey a lot of meaning which is lost in this analysis. Further research could replicate this study, with the adjustment that it utilises more advanced text mining tools which can better score the text content with respect to VO or EO. Apart from upgrading the analysis method, I would add some more information to the descriptive statistics section. Now it is not known what the average loan text length is, what the average and variance of word counts are over the texts. These insights would help the reader understand the data which is used as input for the analysis and allows researchers to better discuss the validity of the results. Missing control variablesThe analysis does not include control variables on the loan category. Kiva works with several loan sector categories such as Agriculture or Education. Further attributes can be specified such as green, youth, and multiple tags can be included technology trees. At the minimum, I would include the sector in which the loan is requested as a control variable consisting of multiple dummy variables.

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