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Keyword density

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From a mathematical viewpoint, the original concept of keyword density refers to the frequency (Nkr) of appearance of a keyword in a dissertation. A "keyword" consisting of multiple terms, e.g. "blue suede shoes," is an entity in itself. T frequency of the phrase "blue suede shoes" within a
284:'Keywords' (kr) that consist of several words artificially inflate the total word count of the dissertation. The purest mathematical representation should adjust the total word count (Tkn) lower by removing the excess key(phrase) word counts from the total: 274:, where Nwp is the number of words in the phrase. So, for example, for a four-hundred word page about search engine optimization where "search engine optimization" is used four times, the keyword phrase density is (4*3/400)*100 or 3 percent. 278:
dissertation drives the key(phrase) density. It is "more" mathematically correct for a "keyphrase" to be calculated just like the original calculation, but considering the word group, "blue suede shoes," as a single appearance, not three:
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in the analyzed text. The result is a keyword density value. When calculating keyword density, ignore html tags and other embedded tags which will not appear in the text of the page once published.
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discovered how to implement optimum keyword density, search engines began giving priority to other factors beyond the direct control of webmasters. Today, the overuse of keywords, a practice called
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is the percentage of times a keyword or phrase appears on a web page compared to the total number of words on the page. In the context of
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Computational Science and Its Applications - ICCSA 2010: International Conference, Fukuoka, Japan, March 23-26, 2010, Proceedings
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Density = ( Nkr / ( Tkn -( Nkr * ( Nwp-1 ) ) ) ) * 100. where Nwp = the number of terms in the keyphrase.
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Taniar, David; Gervasi, Osvaldo; Murgante, Beniamino; Apduhan, Bernady O.; Pardede, Eric (2010-03-16).
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The formula to calculate your keyword density on a web page for SEO purposes is
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When calculating the density of a keyword phrase, the formula would be
136:, keyword density was an important factor in page ranking. However, as 125:, keyword density can be used to determine whether a web page is 15: 216: 153: 46:. Unsourced material may be challenged and removed. 317: 266: 191: 324:. Springer Science & Business Media. p.  199:, where Nkr is how many times you repeated a 8: 129:to a specified keyword or keyword phrase. 241: 215: 166: 152: 144:, will cause a web page to be penalized. 106:Learn how and when to remove this message 308: 132:In the late 1990s, the early days of 7: 44:adding citations to reliable sources 14: 267:{\displaystyle (Nkr*Nwp/Tkn)*100} 20: 281:Density = ( Nkr / Tkn ) * 100. 31:needs additional citations for 255: 217: 180: 154: 1: 192:{\displaystyle (Nkr/Tkn)*100} 389: 371:Search engine optimization 123:search engine optimization 340:(Nkr * Nwp / Tkn) * 100. 356:Keyword density checker 268: 193: 269: 194: 214: 151: 40:improve this article 297:Online advertising 264: 189: 201:specific keyword, 116: 115: 108: 90: 55:"Keyword density" 378: 343: 342: 323: 313: 273: 271: 270: 265: 245: 198: 196: 195: 190: 170: 142:keyword stuffing 111: 104: 100: 97: 91: 89: 48: 24: 16: 388: 387: 381: 380: 379: 377: 376: 375: 361: 360: 352: 347: 346: 336: 315: 314: 310: 305: 293: 212: 211: 149: 148: 119:Keyword density 112: 101: 95: 92: 49: 47: 37: 25: 12: 11: 5: 386: 385: 382: 374: 373: 363: 362: 359: 358: 351: 350:External links 348: 345: 344: 334: 307: 306: 304: 301: 300: 299: 292: 289: 263: 260: 257: 254: 251: 248: 244: 240: 237: 234: 231: 228: 225: 222: 219: 188: 185: 182: 179: 176: 173: 169: 165: 162: 159: 156: 134:search engines 114: 113: 96:September 2013 28: 26: 19: 13: 10: 9: 6: 4: 3: 2: 384: 383: 372: 369: 368: 366: 357: 354: 353: 349: 341: 337: 335:9783642121883 331: 327: 322: 321: 312: 309: 302: 298: 295: 294: 290: 288: 285: 282: 279: 275: 261: 258: 252: 249: 246: 242: 238: 235: 232: 229: 226: 223: 220: 208: 206: 202: 186: 183: 177: 174: 171: 167: 163: 160: 157: 145: 143: 139: 135: 130: 128: 124: 120: 110: 107: 99: 88: 85: 81: 78: 74: 71: 67: 64: 60: 57: –  56: 52: 51:Find sources: 45: 41: 35: 34: 29:This article 27: 23: 18: 17: 339: 319: 311: 286: 283: 280: 276: 209: 204: 203:and Tkn the 200: 146: 131: 118: 117: 102: 93: 83: 76: 69: 62: 50: 38:Please help 33:verification 30: 205:total words 303:References 138:webmasters 66:newspapers 259:∗ 230:∗ 184:∗ 365:Category 291:See also 127:relevant 80:scholar 332:  82:  75:  68:  61:  53:  87:JSTOR 73:books 330:ISBN 59:news 326:212 262:100 187:100 42:by 367:: 338:. 328:. 256:) 253:n 250:k 247:T 243:/ 239:p 236:w 233:N 227:r 224:k 221:N 218:( 181:) 178:n 175:k 172:T 168:/ 164:r 161:k 158:N 155:( 109:) 103:( 98:) 94:( 84:· 77:· 70:· 63:· 36:.

Index


verification
improve this article
adding citations to reliable sources
"Keyword density"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
search engine optimization
relevant
search engines
webmasters
keyword stuffing
Online advertising
Computational Science and Its Applications - ICCSA 2010: International Conference, Fukuoka, Japan, March 23-26, 2010, Proceedings
212
ISBN
9783642121883
Keyword density checker
Category
Search engine optimization

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