|What is Keywords and how I get target words?|
What is Keywords and how I get target words?
What is Keywords and how I get target words?:
A keyword is any word or short phrase that describes a website topic or page. - The more a keyword is used by searchers and websites the more attraction power it has.
So Keywords are fundamental to the search process - they are the building blocks of language and of search. In fact, the entire science of information retrieval (including web-based search engines like Google) is based on keywords. As the engines crawl and index the contents of pages around the web, they keep track of those pages in keyword-based indices. Thus, rather than storing 25 billion web pages all in one database, the engines have millions and millions of smaller databases, each centered on a particular keyword term or phrase. This makes it much faster for the engines to retrieve the data they need in a mere fraction of a second.
Obviously, if you want your page to have a chance of ranking in the search results for "dog," it's wise to make sure the word "dog" is part of the indexable content of your document.
Keywords dominate our search intent and interaction with the engines. For example, a common search query pattern might go something like this: When a search is performed, the engine matches pages to retrieve based on the words entered into the search box. Other data, such as the order of the words ("tanks shooting" vs. "shooting tanks"), spelling, punctuation, and capitalization of those keywords provide additional information that the engines use to help retrieve the right pages and rank them. To help accomplish this, search engines measure the ways keywords are used on pages to help determine the "relevance" of a particular document to a query. One of the best ways to "optimize" a page's rankings is to ensure that keywords are prominently used in titles, text, and meta data. Generally, the more specific your keywords, the better your chances of ranking based on less competition. The map graphic to the left shows the relevance of the broad term books to the specific title, Tale of Two Cities. Notice that while there are a lot of results (size of country) for the broad term, there are a lot less results and thus competition for the specific result.
Keyword Abuse or stuffing
Some intelligent developer,think repeating keyword in pages to increase ranking the web site , actually if you are repeat or use keywords not in your html web page ,the spiders will classify your site as spam and put your sile in black list.for example you put in your web site keyword loan , and you do not have any article that contains word loan or any thing about this subject so you are spam. While there is nothing wrong with ‘using’ keywords a couple of times in each of your web pages, it is deliberately ‘planting’ them that is considered unethical. Keywords should be used naturally, and should go with the flow of the content. It is also helpful to know that the general recommended keyword density for websites is 3 to 4 %, and a keyword density of above 10 percent in your web content is bound to raise red flags in all search engines. Also be aware that the search engines look for related words to the keywords you are using. for example if your page is targeting Thai Restaurant in Mumbai then it will also want to see things like Sesame Prawn Toast, and Pad Thai, or things like delicious dishes. Basically, the search engine will know if the page is too optimized for a particular keyword and not genuine.
Calculate Keyword density
Keyword Density Myth Keyword density is not a part of modern ranking algorithms, as demonstrated in Dr. Edel Garcia The Keyword Density of Non-Sense. If two documents, D1 and D2, consist of 1000 terms (l = 1000) and repeat a term 20 times (tf = 20), then a keyword density analyzer will tell you that for both documents Keyword Density (KD) KD = 20/1000 = 0.020 (or 2%) for that term. Identical values are obtained when tf = 10 and l = 500. Evidently, a keyword density analyzer does not establish which document is more relevant. A density analysis or keyword density ratio tells us nothing about: The relative distance between keywords in documents (proximity) Where in a document the terms occur (distribution) The co-citation frequency between terms (co-occurrence) The main theme, topic, and sub-topics (on-topic issues) of the documents The Conclusion: Keyword density is divorced from content, quality, semantics, and relevancy.