Main

processing priority

3

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2024-03-11 07:18:21

expired found date

-

created at

2024-06-23 03:56:53

updated at

2026-01-10 06:49:02

Domain name statistics

length

11

crc

30683

tld

166

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

-

previous id

0

replaced with id

0

related id

-

dns primary id

173561409

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

9324

mp size raw text

1349

mp inner links count

2

mp inner links status

20 (imported)

Open Graph

title

fastText

description

Library for efficient text classification and representation learning

site name

author

updated

2025-12-31 16:00:21

raw text

fastText Docs Resources Blog GitHub Support Ukraine 🇺🇦 Help Provide Humanitarian Aid to Ukraine . Library for efficient text classification and representation learning Get Started Download Models What is fastText? FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices. Watch Introductory Video Download pre-trained models English word vectors Pre-trained on English webcrawl and Wikipedia Multi-lingual word vectors Pre-trained models for 157 different languages Help and references Tutorials Learn how to use fastText Frequently Asked Questions Questions gathered from the community API In depth review of fastText commands References Enriching Word Vectors with Subword Information P. Bojanowski, E. Grave, A. Joulin, T. Mikolov Bag of Tricks for Efficient Text Class...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Military [en] (225)

index version

2025123101

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

1044

text words

181

text unique words

113

text lines

46

text sentences

20

text paragraphs

1

text words per sentence

9

text matched phrases

2

text matched dictionaries

2

RSS

rss path

rss status

1 (priority 1 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

34 (reserved: import paused pending content quality/relevance assessment after importing first 500 pages)

sitemap review version

2

sitemap urls count

23

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2024-03-11 06:40:54

sitemap process date

2024-11-18 20:28:03

sitemap first import date

-

sitemap last import date

2026-01-03 14:34:38