en.wikipedia.org website review
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en.wikipedia.org is 58% geoptimaliseerd!
SEO Keyword summary for en.wikipedia.org/wiki/optical_character_recognition
Keywords are extracted from the main content of your website and are the primary indicator of the words this page could rank for. By frequenty count we expect your focus keyword to be ocr
Focus keyword
Short and long tail
Short Tail Keywords ocr recognition character |
long Tail Keywords (2 words) character recognition optical character retrieved june june 16 16 2013 |
long Tail Keywords (3 words) optical character recognition retrieved june 16 june 16 2013 retrieved may 2 character recognition software move to sidebar may 2 2015 |
en.wikipedia.org On-Page SEO Scan
Descriptive Elements
The <head> element of a en.wikipedia.org/wiki/optical_character_recognition page is used to inform the browser and visitors of the page about the general meta information. The head section of the page is where we place the page title, the definition of the HTML version used, the language of in which the page is written. In the head section we can also include JavaScript and CSS (markup) files for the page.
Page title
Title length
optical character recognition wikipedia
Meta description
Meta description legth
Meta description SEO
No meta relevance in the description detected !
Content SEO
Number of Words
Spam detected?
Headings
Heading distribution
Heading normalisation
Heading SEO impact
Emphasis (bold and italic)
Emphasis SEO impact
Images
Number of images
Images dimensions
Image alt descriptions
Images SEO impact
wikipedia free encyclopedia edit wikidata wikimedia foundation powered mediawiki
Mobile SEO en.wikipedia.org/wiki/optical_character_recognition
Mobile rendering
Mobile optimizations
Responsive design detected (mobile css)
No flash detected !
Mobile improvement
Marketing / lead generation for en.wikipedia.org/wiki/optical_character_recognition
Social Media
Facebook shares | Facebook likes | ||
Facebook comments | Tweets | ||
Google +1 |
Conversion form
Search form
Analytics
Online presence
SERP Preview
SERP Title
SERP Link
SERP Description
Domain Level SEO
Domain name
16 characters long
Domain name SEO Impact
Path name
character found in path !
optical found in path !
recognition found in path !
Structured data
Publisher Markup
Other Structured data
Website configuration
Correct processing of non-existing pages?
Favicon icon found?
Robots.txt found?
Sitemap found?
Navigation and internal links
Navigation
Url seperator
Human readable urls
Number of links
Link SEO Impact
statistics
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en.m.wikipedia.org |
en.wikipedia.org wikimedia foundation inc
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w httpsenwikipediaorgwindexphptitleopticalcharacterrecognitionoldid1247051543
page information
printable version
international journal on document analysis and recognition
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wiki electronic
mechanical
images
entering data
bank statements
cognitive computing
machine translation
texttospeech
text mining
pattern recognition
artificial intelligence
computer vision
image file format
timeline of optical character recognition
emanuel goldberg
optophone
microfilm
ibm
ray kurzweil
font
flatbed scanner
national federation of the blind
lexisnexis
xerox
scansoft
nuance communications
cloud computing
smartphone
smartglasses
api
comparison of optical character recognition software
writing systems
checks
automatic numberplate recognition
information extraction
trafficsign recognition
book scanning
project gutenberg
google books
pen computing
captcha
glyph
character
space
word divider
intelligent character recognition
printscript
cursive text
machine learning
intelligent word recognition
handwriting movement analysis
segments
skewing
despeckling
greyscale
binary image
scene text
layout analysis
multicolumn layouts
tables
aspect ratio
scale
fixedpitch fonts
proportional fonts
image correlation
feature detection in computer vision
nearest neighbour classifiers
knearest neighbors algorithm
cuneiform
tesseract
google docs
abbyy finereader
ocropus
artificial neural network
alto
xml schema
library of congress
hocr
lexicon
proper nouns
plain text
pdf
cooccurrence
levenshtein distance
license plates
invoices
screenshots
id cards
drivers licenses
automobile manufacturing
the new york times
ocra
ocrb
micr
dropout color
palm os
graffiti
crowdsourcing
amazon mechanical turk
recaptcha
national library of finland
rankorder tournaments
ngram
long s
us department of energy
latin script
mnist database
tablet pc history
handprinted text
check
typo
optical character recognition
unicode
ai effect
applications of artificial intelligence
computational linguistics
digital library
digital mailroom
digital pen
escriptorium
institutional repository
legibility
list of emerging technologies
live ink character recognition solution
magnetic ink character recognition
music ocr
ocr in indian languages
optical mark recognition
outline of artificial intelligence
sketch recognition
speech recognition
voice recording
isbn
bibcode
s2cid
woodford chris
issn
arxiv
elongated medials
pmid
free software
gocr
ocrad
ocrfeeder
proprietary software
adobe acrobat pro
asprise ocr
microsoft office document imaging
omnipage
readsoft
smartscore
teleform
vuescan
natural language processing
aicomplete
bagofwords
bigram
trigram
natural language understanding
stop words
text processing
argument mining
collocation extraction
concept mining
coreference resolution
deep linguistic processing
distant reading
namedentity recognition
ontology learning
parsing
semantic parsing
syntactic parsing
partofspeech tagging
semantic analysis
semantic role labeling
semantic decomposition
semantic similarity
sentiment analysis
terminology extraction
textual entailment
truecasing
wordsense disambiguation
wordsense induction
text segmentation
compoundterm processing
lemmatisation
lexical analysis
text chunking
stemming
sentence segmentation
word segmentation
automatic summarization
multidocument summarization
sentence extraction
text simplification
computerassisted
examplebased
rulebased
statistical
transferbased
distributional semantics
documentterm matrix
explicit semantic analysis
fasttext
glove
language model
large language model
latent semantic analysis
seq2seq
word embedding
word2vec
language resources
corpus linguistics
lexical resource
linguistic linked open data
machinereadable dictionary
parallel text
propbank
semantic network
simple knowledge organization system
speech corpus
text corpus
thesaurus information retrieval
treebank
universal dependencies
babelnet
bank of english
dbpedia
framenet
google ngram viewer
uby
wordnet
wikidata
automatic identificationand data capture
speech segmentation
speech synthesis
natural language generation
topic model
document classification
latent dirichlet allocation
pachinko allocation
computerassistedreviewing
automated essay scoring
concordancer
grammar checker
predictive text
pronunciation assessment
spell checker
natural languageuser interface
chatbot
interactive fiction
syntax guessing
question answering
virtual assistant
voice user interface
formal semantics
hallucination
natural language toolkit
spacy
general
differentiable programming
information geometry
statistical manifold
automatic differentiation
neuromorphic engineering
tensor calculus
computational learning theory
inductive bias
gradient descent
clustering
regression
overfitting
adversary
attention
convolution
loss functions
backpropagation
batchnorm
activation
softmax
sigmoid
rectifier
regularization
datasets
augmentation
diffusion
autoregression
incontext learning
deep learning
scientific computing
ipu
memristor
spinnaker
tensorflow
pytorch
keras
theano
jax
mindspore
alexnet
wavenet
human image synthesis
speech synthesis
facial recognition
alphafold
texttoimage models
dalle
midjourney
stable diffusion
texttovideo models
videopoet
claude
gemini
lamda
bard
project debater
ibm watson
ibm watsonx
granite
gpt1
gpt2
gpt3
gpt4
chatgpt
gptj
chinchilla ai
palm
bloom
llama
pangu
alphago
alphazero
qlearning
openai five
selfdriving car
muzero
action selection
autogpt
robot control
yoshua bengio
alex graves
ian goodfellow
stephen grossberg
demis hassabis
geoffrey hinton
yann lecun
feifei li
andrew ng
jrgen schmidhuber
david silver
ilya sutskever
anthropic
eleutherai
google deepmind
hugging face
openai
meta ai
huawei
neural turing machine
differentiable neural computer
transformer
recurrent neural network rnn
long shortterm memory lstm
gated recurrent unit gru
echo state network
multilayer perceptron mlp
convolutional neural network
residual neural network
mamba
autoencoder
variational autoencoder vae
generative adversarial network gan
graph neural network
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SEO Advice for en.wikipedia.org
In this section we provide pointers on how you can to optimize your web page so it can be found more easily by search engines and how to make it rank higher by optimizing the content of the page itself. For each of the individual criteria the maximum score is 100%. A score below 70% is considered to be indication that the page is not complying with general SEO standards and should be evaluated and/or fixed. Not every factor is weighted the same and some are not as important as others. Relatively unimportant factors like meta keywords are not included in the overall score.
Item | Factor | Pointers | |
---|---|---|---|
PageTitle | 100% | Far too many sites lack a page title. A page title is the first thing that shows in the search results so always use the title element. | |
Title relevance | 98% | A title should reflect the contents of a site. This site has a 75 % match | |
Title Length | 100% | Limit your title to anywhere between 40 and 70 characters. Your title was 42 characters long | |
Meta Description | 0% | A meta description is the second element that shows in the search results so always use the meta description. | |
Meta description length | 0% | The meta description should be between 145 and 160 characters. This meta description is 1 characters long. | |
Meta description relevance | 0% | Meta Description should reflect the contents of a site. This site has a 0 % match | |
Number of internal links | 30% | Linking to internal pages makes pages easier to find for search engines. Try to keep the number of links on your page roughly below 100. There are 482 internal links on this page. | |
Folder structure | 100% | We found a folder structure in the links on your page. A good folder structure makes a site easier to navigate. We found 3 level 1 folders and 6 folders above or in the first level of navigation. | |
Headings | 48% | Headers should reflect the contents of a site. This site has a 21 % match | |
Links | 8% | Link anchors should to some degree reflect the contents of a site. This site has a 4 % match | |
Image alt tags | 31% | Image alt tags should to some degree reflect the contents of a site. This site has a 11 % match | |
Bold and italic | 42% | Bold and italic tags should reflect the contents of a site to some degree. This site has a 14 % match | |
Html ratio | 60% | Try to keep the html / text ratio as low as possible. More html means longer loading times. Layout should be handled in a serpate css file | |
Image descriptions | 36% | 35.714285714286 % of all images have been described via the "alt" attribute. Describing images with relevant text may lead to better results in the search engines. | |
Page errors | 100% | Pages with no errors display significantly faster on most browsers. We detected 0 errors and warnings | |
WordCount | 20% | An ideal page contains between 400 and 600 words.This page contains 4869 words | |
Server response time | 100% | A fast server speeds up a website. This server responds 71.72% faster then average | |
Gzip compression | 30% | This site does not use Gzip compression. Pages may not display as fast as they could | |
Keywords in Domainname | 30% | There are no important keywords in your domain name | |
Keywords in domain path | 100% | There are important keywords in the domain path | |
Structured Data | 100% | Structured data makes it easier for search engines to index your website | |
Inline css | 0% | Do not use inline css declarations. Inline css will slow down the rendering of the website. We detected 169 inline style declarations ( <a style="color:green">) with a size of 3116 bytes | |
Excessive use of the same words | 100% | There is no indication that there are one or more keywords that are used excessively. | |
Frames or iframes | 100% | Perfect, detected not (i)frames on your webpagina | |
Flash | 100% | Perfect, we detected no flash objects on your page | |
Css | 30% | We detected too much (2) CSS files on your page. Css files block the loading of a webpage. | |
Javascript | 100% | Perfect, we did not detect too many blocking JavaScript files | |
Mobile Website | 100% | Perfect, we found a responsive design for mobile users | |
Most important heading | 100% | Perfect, we detected a correct use of the most important (h1) heading! | |
Normalized headings | 40% | We dit not font a normalized heading structure. A heading 2 (h2) for example should be followed by a heading of an equal level (h2), a child heading (h3) or even a aprent heading (h1). |
How would you like to have SEO advice for all your pages ?? Start your SEO Dashboard and optimize your website!
en.wikipedia.org images and descriptions
14 images found at en.wikipedia.org Images can improve the user experience for a website by making a pag visually appealing Images can also add extra keyword relevance to a webpage by using alt tags. Images can also slow down a website. If the width and height for a picture is not specified for a browser know in advance how large the image is. A browser must first load the picture and see before it knows how much space should be on the page. Upon reservation In the meantime, the browser can do little but wait. When the height and width for the plate are given in the HTML code, a browser just continues to build for a page while the images load in the background.
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