A Brief Overview About Database Keywords

A good database keyword tool helps you do the following: identify and extract all the relevant data, select the most appropriate keywords from the input data, sort, and group the data, calculate the optimal number of times to use the search command and save it into a special database file. If you need a good keyword tool, you need one that can do all these efficiently and in less time than the user yourself. It should be able to extract all the relevant data from the selected documents and sort them properly. It should also be able to create a customized dynamic list of keywords from the documents that are selected. And, it should also be able to calculate the optimum number of times to use the search command and store it into a database file.

Some of the databases available contain millions of database keywords. These can be grouped and sorted using an intuitive and easy-to-use interface using a “rowset” system. The keyword groupings can then be sorted by relevance, frequency, or total occurrence. This is extremely helpful for finding what is needed quickly. Many programs have a facility known as a fat-name that allows a user to enter a formatted name for a database keyword phrase.

Text mining is another way of finding the right keywords for your documents; in this case, one would search the databases for the term, “weight loss” or “dieting.” Text mining is ideal when the documents are part of a very large project such as a children’s book. However, if you need to search a smaller number of texts, there is no reason to pay for bulk searching. In such cases, you can build the database keywords list manually, just make sure that you include the entire dictionary word for the specific phrase in your search.

Database keywords can be categorized into two types, fuzzy and clear keywords. Fuzzy keywords are those that can be searched by more than one user. Clear keywords however are easier to classify; they are simply less fickle. The two database keyword commands that allow fuzzy searching and clear targets are the find/evaluate and the target/search commands.

The find/evaluate command lets you search for a specific document number or set of documents for keywords within the database. When you perform this search, the command displays the corresponding occurrences of the keyword. For example, if you search for the word “weight” in the database you will get all the records that contain at least one instance of the word weight. The target/search command on the other hand lets you search for a document number or set of documents for specific information.

It is also possible to display information about keywords in the metadata portion of the slice request (rows 5 and 6). Metadata is divided into logical operators and keywords. The logical operators are used to display information about logical entities in the document. The keywords are used to display information about individual keywords. The keywords, along with all associated data and images are stored in the meta-data row, which is also supported by the F digs tool.