en.wikipedia.org website review
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SEO Keyword summary for en.wikipedia.org/wiki/natural_language_processing
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 language
Focus keyword
Short and long tail
Short Tail Keywords language natural text |
long Tail Keywords (2 words) natural language language processing computational linguistics machine learning retrieved 2021-01-11 |
long Tail Keywords (3 words) natural language processing chunk of text semantic role labelling natural language understanding grammatical error correction semantics of individual move to sidebar |
en.wikipedia.org On-Page SEO Scan
Descriptive Elements
The <head> element of a en.wikipedia.org/wiki/natural_language_processing 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
natural language processing 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 displaystyle rmmtokennpmmtokenntimes frac dleftsum iddpmmtokenntimes pftokennitokenntokenniiright icon edit wikidata wikimedia foundation powered mediawiki
Mobile SEO en.wikipedia.org/wiki/natural_language_processing
Mobile rendering
Mobile optimizations
Responsive design detected (mobile css)
No flash detected !
Mobile improvement
Marketing / lead generation for en.wikipedia.org/wiki/natural_language_processing
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
language found in path !
natural found in path !
processing 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 httpsenwikipediaorgwindexphptitlenaturallanguageprocessingoldid1246833999
page information
printable version
ross quillian
kenna hughescastleberry
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wiki language processing in the brain
interdisciplinary
computer science
artificial intelligence
natural language
information retrieval
knowledge representation
computational linguistics
linguistics
text corpus
machine learning
deep learning
speech recognition
text classification
naturallanguage understanding
natural language generation
history of natural language processing
alan turing
computing machinery and intelligence
turing test
john searle
chinese room
georgetown experiment
automatic translation
alpac report
statistical
shrdlu
blocks worlds
eliza
rogerian psychotherapist
joseph weizenbaum
ontologies
chatterbots
parry
generative grammar
lesk algorithm
rhetorical structure theory
racter
jabberwacky
moores law
chomskyan
transformational grammar
corpus linguistics
machine translation
ibm alignment models
parliament of canada
european union
unsupervised
semisupervised learning
supervised learning
world wide web
time complexity
word ngrams
multilayer perceptron
language model
yoshua bengio
tom mikolov
brno university of technology
recurrent neural network
word2vec
representation learning
language modeling
in medicine and healthcare
electronic health records
stemming
intractability
large
apertium
tokenization
knowledge extraction
ai winter
decision trees
ifthen rules
markov models
neural networks
feature engineering
semantic networks
word embedding
neural
seq2seq
optical character recognition
text to speech
aicomplete
natural speech
speech segmentation
coarticulation
analog signal
texttospeech
word segmentation
english
chinese
japanese
thai
vocabulary
morphology
bag of words
lemmatisation
morphemes
inflectional morphology
turkish
meitei
agglutinated
partofspeech tagging
part of speech
nouns
verb
adjectives
formal languages
formal system
alphabet
syntax
semantics logic
semantics programming languages
formal grammar
formation rule
wellformed formula
automata theory
regular expression
production
ground expression
atomic formula
formal methods
propositional calculus
predicate logic
mathematical notation
programming language theory
syntax analysis
formal verification
automated theorem proving
grammar induction
sentence breaking
sentence segmentation
periods
punctuation marks
abbreviations
parsing
parse tree
grammar
ambiguous
probabilistic contextfree grammar
stochastic grammar
lexical semantics
distributional semantics
named entity recognition
capitalization
named entities
arabic
german
french
spanish
sentiment analysis
multimodal sentiment analysis
term frequencyinverse document frequency
terminology extraction
wordsense disambiguation
meaning
wordnet
entity linking
relationship extraction
semantic parsing
amr parsing
drt parsing
semantic role labeling
semantic roles
coreference resolution
anaphora resolution
pronouns
referring expressions
discourse analysis
discourse
speech acts
prodrop languages
textual entailment
topic segmentation
argument mining
argument scheme
automatic summarization
gpt2
logic translation
firstorder logic
computer
closedworld assumption
openworld assumption
1 the road
document ai
dialogue management
question answering
texttoimage generation
3d model
texttovideo
cognition
cognitive science
cognitive linguistics
george lakoff
conceptual metaphor
actr
explainability
multimodal
artificial general intelligence
free energy principle
karl j friston
artificial intelligence detection software
automated essay scoring
biomedical text mining
compound term processing
computerassistedreviewing
controlled natural language
deep linguistic processing
foreign language reading aid
foreign language writing aid
information extraction
language and communication technologies
language technology
latent semantic indexing
multiagent system
nativelanguage identification
naturallanguage programming
natural languageuser interface
outline of natural language processing
query expansion
query understanding
reification linguistics
speech processing
spoken dialogue systems
textproofing
text simplification
transformer machine learning model
truecasing
koskenniemi kimmo
university of helsinki
issn
s2cid
corner cases
pathological
thought experiments
poverty of the stimulus
arxiv
bibcode
pmid
isbn
tian yingli
citeseerx
oxford university press
dictionarycom
cains jawbone
scientific american
naturallanguage processing
context
ancient languages
civilizations
training data
bagofwords
ngram
bigram
trigram
natural language understanding
stop words
text processing
text mining
collocation extraction
concept mining
distant reading
namedentity recognition
ontology learning
syntactic parsing
semantic analysis
semantic decomposition
semantic similarity
wordsense induction
text segmentation
compoundterm processing
lexical analysis
text chunking
word segmentation
multidocument summarization
sentence extraction
computerassisted
examplebased
rulebased
transferbased
documentterm matrix
explicit semantic analysis
fasttext
glove
latent semantic analysis
language resources
lexical resource
linguistic linked open data
machinereadable dictionary
parallel text
propbank
semantic network
simple knowledge organization system
speech corpus
thesaurus information retrieval
treebank
universal dependencies
babelnet
bank of english
dbpedia
framenet
google ngram viewer
uby
wikidata
automatic identificationand data capture
speech synthesis
topic model
document classification
latent dirichlet allocation
pachinko allocation
concordancer
grammar checker
predictive text
pronunciation assessment
spell checker
chatbot
interactive fiction
syntax guessing
virtual assistant
voice user interface
formal semantics
hallucination
natural language toolkit
spacy
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api.semanticscholar.org
www.i3s.unice.fr
acl2016tutorial.arg.tech
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web.archive.org
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api.semanticscholar.org
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web.archive.org
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www.aft.org
universalconceptualcognitiveannotation.github.io
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www.doi.org
api.semanticscholar.org
www.arxiv.org
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www.ncbi.nlm.nih.gov
ui.adsabs.harvard.edu
www.doi.org
www.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
nlp.stanford.edu
commons.wikimedia.org
id.loc.gov
id.ndl.go.jp
aleph.nkp.cz
foundation.wikimedia.org
foundation.wikimedia.org
www.wikimediafoundation.org
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 | 80% | Limit your title to anywhere between 40 and 70 characters. Your title was 40 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 503 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 | 62% | Headers should reflect the contents of a site. This site has a 27 % match | |
Links | 8% | Link anchors should to some degree reflect the contents of a site. This site has a 4 % match | |
Image alt tags | 17% | Image alt tags should to some degree reflect the contents of a site. This site has a 6 % match | |
Bold and italic | 36% | Bold and italic tags should reflect the contents of a site to some degree. This site has a 12 % match | |
Html ratio | 75% | 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 | 64% | 63.636363636364 % 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 7019 words | |
Server response time | 100% | A fast server speeds up a website. This server responds 89.91% 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 71 inline style declarations ( <a style="color:green">) with a size of 1349 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
11 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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http://en.wikipedia.org/static/images/mobile/copyright/wikipedia-wordmark-en.svg height: height attribute not set width: width attribute not set description: wikipedia |
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https://upload.wikimedia.org/wikipedia/en/thumb/9/99/question_book-new.svg/50px-question_book-new.svg.png height: 39 width: 50 description: no alt description found |
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https://upload.wikimedia.org/wikipedia/commons/thumb/d/de/globe_of_letters.svg/19px-globe_of_letters.svg.png height: 19 width: 19 description: icon |
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https://login.wikimedia.org/wiki/special:centralautologin/start?type=1x1 height: 1 width: 1 description: no alt description found |
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http://en.wikipedia.org/w/resources/assets/poweredby_mediawiki.svg height: 31 width: 88 description: powered by mediawiki |
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