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Either Google would need to devalue links in their algorithm, or they would need to do something about directories. They chose, of course, the latter option. Directories, the vast majority of them, suddenly became deadzones. Both Panda and Penguin hit directories, for a double whammy. Panda doesnt like duplicate content, so any article you publish on multiple directories is penalized by default. Penguin doesnt like overly optimized links and backlinks, so finding the same link in the same anchor text in the same context throughout a hundred sites is an instant penalty. Both hurt the directories, and both hurt you. So how do you use directories in the modern era?How can you use them safely, without penalizing yourself or the directories?The first step is to find high quality directories. Thats what this list is for; directories you can investigate to see if they fit your criteria. What makes a high quality directory?Well, the days of a one site works for all directory are long over. These days, you need to find more specialized, industry specific directories.
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Ward has also filed a suit in Miami on behalf of 44 plaintiffs that accuses Martin and CSGO Lotto of engaging in "deceptive trade practices. " Martin's lawyer is seeking to get the case dismissed. He's also trying to fend off a Federal Trade Commission inquiry into whether the YouTube star violated a law that bars celebrities from shielding their ownership in products they pitch. In a video message to his viewers last summer, Martin seemed contrite, saying, "I do feel like I owe you guys an apology. I truly, honestly hope you guys give me an opportunity to get your trust back.
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It is imperative that you understand the costs of launching and maintaining a business, from start up expenses to operating capital. The financial information and projections contained in a business plan are vital because they demonstrate the potential for profit and serve as the guideline for managing the business' financial aspects. This unit will teach you how to determine the costs for launching a new venture and where to get those funds. Additionally, you will learn to document the current financial status of the business and project future estimates. You will also examine options for securing financing or investors and partners to help capitalize the business. This chapter will provide you with a proper foundation in the financial and accounting aspects of operating a business. This reading will provide you with the necessary tools to identify various business start up costs and how to calculate the capital that is needed to start a business. Read these lecture slides. By the end of this reading, you will be able to describe the different methods used for presenting data in a company's income statement. Attempt the review questions on slides 9 through 16. Should you are employing the tables, you might be a chemistry significant.
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If we as individual consumers are having difficulties browsing through the reviews to find those that add value, imagine the difficulty companies must have in analysing those large amounts of reviews. The above explained difficulty occurs mainly due to what we call the 4 Vs of Data: volume, variety, velocity and veracity Salehan and Kim, 2015. Thats where the paper predicting the performance of online consumer reviews: a sentiment mining approach to big data analytics by Salehan and Kim 2015 comes in. The paper looks at the predictors of both readership and helpfulness of online consumer reviews OCR. Using different techniques the paper aims to create an approach that can be adopted by companies to develop automated systems for sorting and classifying large amounts of OCR. Sounds exciting, doesnt it?!Lets have a look at how this works. Whereas previous literature focusses at the factors that determine the perceived helpfulness of a review, this paper takes a step back. It starts by considering the factors that determine the likelihood of a consumer paying attention to a review in the first place, since without reading a review you cannot determine its helpfulness. Hence the research questions are as follows:Research Question 1: Which factors determine the likelihood of a consumer paying attention to a review?Research Question 2: Which factors determine the perceived helpfulness of a review?In order to answer the research questions, the paper looks at a sample of 2616 Amazon reviews and considers several factors they believe may impact review readership, helpfulness, or both. Readership is measured as the total number of votes helpful and not helpful, whereas helpfulness is measured as the proportion of helpful votes out of total votes. Since I see no reason to bore you with detailed methodologies, I made a quick and easy to follow overview of the different factors the paper considers using a random Amazon review as an example:All above outlined findings are statistically significant.