en.wikipedia.org website review
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en.wikipedia.org is 60% geoptimaliseerd!
SEO Keyword summary for en.wikipedia.org/wiki/mindspore
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 learning
Focus keyword
Short and long tail
Short Tail Keywords learning huawei mindspore |
long Tail Keywords (2 words) deep learning neural network machine learning series huawei retrieved february |
long Tail Keywords (3 words) move to sidebar february 13 2024 retrieved february 13 wwwmindsporecn retrieved july july 8 2024 retrieved july 8 remove this message |
en.wikipedia.org On-Page SEO Scan
Descriptive Elements
The <head> element of a en.wikipedia.org/wiki/mindspore 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
mindspore 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 huawei logo wikimedia foundation powered mediawiki
Mobile SEO en.wikipedia.org/wiki/mindspore
Mobile rendering
Mobile optimizations
Responsive design detected (mobile css)
No flash detected !
Mobile improvement
Marketing / lead generation for en.wikipedia.org/wiki/mindspore
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
mindspore 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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httpsenwikipediaorgwindexphptitlemindsporeoldid1240653554
page information
printable version
y70y70 plusy71
honor tablet 5
x gentle monster eyewear
x gentle monster eyewear ii
huawei music
huawei cloud services
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huawei mateview
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wiki read
developers
huawei
stable release
repository
c
ets
platform
linux
windows
macos
nestos
openharmony
harmonyos
android
type
machine learning
library
license
apache license 20
data mining
supervised learning
unsupervised learning
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selfsupervised learning
reinforcement learning
metalearning
online learning
batch learning
curriculum learning
rulebased learning
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neuromorphic engineering
quantum machine learning
classification
generative modeling
regression
clustering
dimensionality reduction
density estimation
anomaly detection
data cleaning
automl
association rules
semantic analysis
structured prediction
feature engineering
feature learning
learning to rank
grammar induction
ontology learning
multimodal learning
apprenticeship learning
decision trees
ensembles
bagging
boosting
random forest
linear regression
naive bayes
artificial neural network
logistic regression
perceptron
relevance vector machine rvm
support vector machine svm
birch
cure
hierarchical
kmeans
fuzzy
expectationmaximization em
dbscan
optics
mean shift
factor analysis
graphical models
bayes net
conditional random field
hidden markov
ransac
local outlier factor
isolation forest
autoencoder
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feedforward neural network
recurrent neural network rnn
long shortterm memory lstm
gated recurrent unit gru
echo state network
reservoir computing
boltzmann machine
restricted
generative adversarial network gan
diffusion model
convolutional neural network
unet
lenet
alexnet
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transformer
vision
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multiagent
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crowdsourcing
humanintheloop
coefficient of determination
confusion matrix
learning curve
roc curve
kernel machines
biasvariance tradeoff
computational learning theory
empirical risk minimization
occam learning
pac learning
statistical learning
vc theory
ecml pkdd
glossary of artificial intelligence
list of datasets for machinelearning research
list of datasets in computer vision and image processing
outline of machine learning
opensource
artificial intelligence
harmonyos next
large language model
huawei pangu
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eclipse
comparison
differentiable programming
tensorflow
keras
cuda
isbn
springer
tsinghua university press
open source
apache mxnet
apache singa
caffe
deeplearning4j
deepspeed
dlib
microsoft cognitive toolkit
mlnet
opennn
pytorch
theano
openvino
proprietary
apple
core ml
ibm watson
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wolfram mathematica
matlab
general
information geometry
statistical manifold
automatic differentiation
pattern recognition
tensor calculus
inductive bias
gradient descent
overfitting
hallucination
adversary
attention
convolution
loss functions
backpropagation
batchnorm
activation
softmax
sigmoid
rectifier
regularization
datasets
augmentation
diffusion
autoregression
incontext learning
scientific computing
language model
ipu
memristor
spinnaker
jax
wavenet
human image synthesis
speech synthesis
speech recognition
facial recognition
alphafold
texttoimage models
dalle
midjourney
stable diffusion
texttovideo models
videopoet
word2vec
seq2seq
claude
gemini
lamda
bard
project debater
ibm watson
ibm watsonx
granite
gpt1
gpt2
gpt3
gpt4
chatgpt
gptj
chinchilla ai
palm
bloom
llama
alphago
alphazero
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
neural turing machine
differentiable neural computer
multilayer perceptron mlp
residual neural network
mamba
variational autoencoder vae
graph neural network
phones
ascend
huawei ascend
ppura series
g300
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g600
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ascend mate
mate 2
mate 7
ascend y300
huawei p8
p8 max
p9
9 plus
9 lite
p10
p20
p30
p40
p50
p60
mate series
huawei mate s
2017
xt ultimate design
g9 plus
7 pro
huawei g7 plusg8
g play
mini
gr5
huawei g6600 passport
m835
premia
sonic
stream x gl07s
t156
t158
t161l
t201
t208
t211
t261l
t300
u120
u121
u1000
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u1250
u1270
u2801
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u7310
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tmobile tap u7519
u8100
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ideos u8150
tmobile pulse u8220
u8230
u8800
u9130 compass
u9150
nexus 6p
huawei ideos tablet s7
mediapad m5
matepad pro
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watch gt
cpu
npu
kirin
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harmonyos kernel
version history
liteos
emui
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e220
singleran
4g elte
ark compiler
bisheng compiler
deveco studio
erofs
arkuix
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huawei hicar
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softswitches
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internet protocol multimedia subsystems
passive optical network
network switches
service delivery platforms
base station subsystems
hms core
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huawei video
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new ip
huawei symantec
criticism of huawei
li hongyuan incident
nano memory
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harmony intelligent mobility alliance
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Links to external pages
Outloing links
www.wikidata.org
www.google.com
www.google.com
www.google.com
www.google.com
scholar.google.com
www.jstor.org
www.github.com
www.mindspore.cn
link.springer.com
www.mindspore.cn
www.oreilly.com
www.abebooks.com
www.viso.ai
link.springer.com
foundation.wikimedia.org
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 | 100% | A title should reflect the contents of a site. This site has a 100 % match | |
Title Length | 30% | Limit your title to anywhere between 40 and 70 characters. Your title was 22 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 635 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 | 69% | Headers should reflect the contents of a site. This site has a 30 % match | |
Links | 10% | Link anchors should to some degree reflect the contents of a site. This site has a 5 % match | |
Image alt tags | 62% | Image alt tags should to some degree reflect the contents of a site. This site has a 22 % match | |
Bold and italic | 78% | Bold and italic tags should reflect the contents of a site to some degree. This site has a 26 % match | |
Html ratio | 30% | 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 | 29% | 29.411764705882 % 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 1843 words | |
Server response time | 30% | A slow server slows down a website. This server responds 179.7% slower the average | |
Gzip compression | 30% | This site does not use Gzip compression. Pages may not display as fast as they could | |
Keywords in Domainname | 100% | There are 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 148 inline style declarations ( <a style="color:green">) with a size of 3224 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
15 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.
http://en.wikipedia.org/static/images/icons/wikipedia.png height: 50 width: 50 description: no alt description found |
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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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http://en.wikipedia.org/static/images/mobile/copyright/wikipedia-tagline-en.svg height: 13 width: 117 description: the free encyclopedia |
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https://upload.wikimedia.org/wikipedia/commons/thumb/3/30/mindspore-logo.png/120px-mindspore-logo.png height: 115 width: 120 description: no alt description found |
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https://upload.wikimedia.org/wikipedia/en/thumb/0/04/huawei_standard_logo.svg/70px-huawei_standard_logo.svg.png height: 71 width: 70 description: huawei logo |
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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/static/images/footer/wikimedia-button.svg height: 29 width: 84 description: wikimedia foundation |
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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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