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First Level Analysis

Once TextOre has “mined” the text data, it takes all of the processed information and opens with a visualization chart as seen on the left.

We can divide this chart into three simple-to-explain and easy-to-use sections. The first being the main terms or concepts across the top. Second all the terms and concepts along the left side. Third, the blocks within the chart.

The Top Columns

These are the key concepts of our search criteria. Every term listed down the left side will be “mined” against these terms. These terms are also listed in the top section of the left side for comparison against each other. The two far right columns (“other” & “total”) are also extremely important. The “other” column shows where a term listed on the left appeared with any other term listed in the left column except those already matched with the top. This allows us to grab and utilize information we may not have initially been looking for but have found vital to our search. The “total” column shows all of the hits for a particular term regardless of its relationship.

The Left Side Rows

These are the terms used to narrow and define the actual results in a corresponding relationship with the key concepts. These terms may also be viewed in a three way set of relationships simply by clicking on the term in the left column. Thus, the user may select a match to get all of the documents within that cross-term search. This is extremely powerful because cross matching analysis can be performed on two and three terms at once to refine the information being searched to identify a small number of key matches. This concept is explained in further detail in the next section Second Level Analysis.

The Color Coded Blocks

Within the Chart This is the strength of having the visualization chart. Each block is color coded to match each individual key concept across the top. Also the size of the block determines how many times a relationship occurred between two terms, the larger the block, the higher the frequency of hits. This allows us to instantly see where there is a lot of information between two topics and also just as important where there is a lack of information between two topics. When the cursor is placed over an individual block, we are told exactly how many hits occurred between the two terms. By clicking on the blocks, we are able to narrow or search to each individual section containing the relationship we are specifically looking for.

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