Discover and read the best of Twitter Threads about #categorization
Most recents (9)
We launched a new #python #wrapper for #website #classification of domains and URLs:
pypi.org/project/websit…
pypi.org/project/websit…
Added a new #nodejs module for #API which returns categorized domains in terms of 440 categories for general content and 1110+ categories for #ecommerce.
npmmirror.com/package/urldat…
npmtrends.com/urldatabase
Classification is based on #machinelearning model.
npmmirror.com/package/urldat…
npmtrends.com/urldatabase
Classification is based on #machinelearning model.
For #product #categorization we added new library modules:
npmjs.com/package/produc…
openbase.com/js/productcate…
npmjs.com/package/produc…
openbase.com/js/productcate…
We published a new #nodejs module for #website #categorization:
npmmirror.com/package/websit…
npmjs.com/package/websit…
npmmirror.com/package/websit…
npmjs.com/package/websit…
We added a new article on #URL #Database where the goal is to classify over 80 million #domain for their IAB #categories: alpha-quantum.com/blog/url-datab…
Latest #AI articles from our company.
Introduction to website categorization, which can be used for #content #filtering, #adtech and other purposes. Using #textclassification #ML model.
alpha-quantum.com/blog/website-c…
Introduction to website categorization, which can be used for #content #filtering, #adtech and other purposes. Using #textclassification #ML model.
alpha-quantum.com/blog/website-c…
#automated product #tagging is important for ecommerce websites as it leads to better #conversion, filtering and searchability.
More on this in alpha-quantum.com/blog/automated…
More on this in alpha-quantum.com/blog/automated…
A fast way to use #URL #categorization data is to have it available as #URLdatabase for direct integration to apps and services, e.g. content filtering. Introduction to URL database construction and use in alpha-quantum.com/blog/url-datab…
kategorisierungen.substack.com/p/stimmungsana…
Artikel über #Sentiment Analyse and #Meinungsforschung.
Artikel über #Sentiment Analyse and #Meinungsforschung.
another post, on #predictiveanalytics kategorisierungen.substack.com/p/pradiktive-a…
We added a couple of articles on #machinelearning.
Content based #recommender using #python:
alpha-quantum.com/blog/content-b…
Content based #recommender using #python:
alpha-quantum.com/blog/content-b…
Collaborative #filtering approach to #recommender based suggestions, again using #python and #matrixfactorization: alpha-quantum.com/blog/collabora…
a few useful links for website categorization: joy.link/websitecategor…
a few useful links for website categorization: joy.link/websitecategor…
It deals with specific #machinelearning problem, namely how to classify a given website into specific categories, also called #taxonomy.
the most common #taxonomies are those of IAB and Google Products Taxonomy. But there others, e.g. one from Facebook for products.
An article about new #website #categorization service using #nlp approach and machine learning model:
alpha-quantum.com/blog/website-c…
alpha-quantum.com/blog/website-c…
It offers both google products #taxonomy which is ideal for #ecommerce sector as well as the IAB taxonomy which is more commonly used for general website categorizations, e.g. for marketing.
Why need for categorizations in marketing? If an advertiser wants to publish ads on publishers websites, generally it wants to know in what kind of category are the publishers websites.
New Saas product for #ai #product #categorization based on #nlp analysis:
productcategorization.com/demo_dashboard/
productcategorization.com/demo_dashboard/
the service is using ML model trained on large number of annotated product texts. google product taxonomy was taken as the base taxonomy, which was then customised.
the #platform can be used both as dashboard or as #API #json endpoint. here is the url for IAB classification that you can try out: productcategorization.com/demo_dashboard…
it is trained on large data set of labelled categories from iab and google product taxonomy. it supports over 1000+ categories with high accuracy.
with integration of neural machine translation #NMT services, the website categorization can be done on websites in 100+ languages.
